Pin-Yu Chen

661 papers A* 144A 16B 9C 3Misc 29Journal 393Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aegis: Towards Governance, Integrity, and Security of AI Voice Agents.
CoRR
Xiang Li, Pin-Yu Chen, Wenqi Wei
2026 J jnl
Backdoor Directions in Vision Transformers.
CoRR
Sengim Karayalcin, Marina Krcek, Pin-Yu Chen, Stjepan Picek
2026 J jnl
Capability-Oriented Training Induced Alignment Risk.
CoRR
Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2026 J jnl
Conditional Modeling-Based Automatic Video Summarization.
ACM Trans. Multim. Comput. Commun. Appl.
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2026 J jnl
Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor, Ling Li, Min-Hsiu Hsieh
2026 J jnl
Diversity Boosts AI-Generated Text Detection.
Trans. Mach. Learn. Res.
Advik Raj Basani, Pin-Yu Chen
2026 J jnl
Emergent Social Intelligence Risks in Generative Multi-Agent Systems.
CoRR
Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
2026 J jnl
From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents.
CoRR
Ling Yue, Kushal Raj Bhandari, Ching-Yun Ko, Dhaval Patel, Shuxin Lin, Nianjun Zhou, Jianxi Gao, Pin-Yu Chen, Shaowu Pan
2026 J jnl
Learning Rate Matters: Vanilla LoRA May Suffice for LLM Fine-tuning.
CoRR
Yu-Ang Lee, Ching-Yun Ko, Pin-Yu Chen, Mi-Yen Yeh
2026 A* conf
MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models.
AAAI
Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma
2026 J jnl
ProbeLLM: Automating Principled Diagnosis of LLM Failures.
CoRR
Yue Huang, Zhengzhe Jiang, Yuchen Ma, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Stefan Feuerriegel, Xiangliang Zhang
2026 J jnl
Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh, Hector Zenil, Jesper Tegnér
2026 J jnl
RADAR: Retrieval-Augmented Detector with Adversarial Refinement for Robust Fake News Detection.
CoRR
Song-Duo Ma, Yi-Hung Liu, Hsin-Yu Lin, Pin-Yu Chen, Hong-Yan Huang, Shau-Yung Hsu, Yun-Nung Chen
2026 J jnl
Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2026 J jnl
Steering Externalities: Benign Activation Steering Unintentionally Increases Jailbreak Risk for Large Language Models.
CoRR
Chen Xiong, Zhiyuan He, Pin-Yu Chen, Ching-Yun Ko, Tsung-Yi Ho
2026 J jnl
vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM.
CoRR
Ching-Yun Ko, Pin-Yu Chen
2025 J jnl
Adversarial Attack-Defense Co-Evolution for LLM Safety Alignment via Tree-Group Dual-Aware Search and Optimization.
CoRR
Xurui Li, Kaisong Song, Rui Zhu, Pin-Yu Chen, Haixu Tang
2025 J jnl
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs.
CoRR
Giulio Zizzo, Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Beat Buesser, Mark Purcell, Pin-Yu Chen, Prasanna Sattigeri, Kush R. Varshney
2025 — conf
An Effective Voltage-drop Aware Analytical Placement Approach.
ACM Great Lakes Symposium on VLSI
Jai-Ming Lin, Pin-Yu Chen, Min-Chia Tsai, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin
2025 J jnl
Attention Slipping: A Mechanistic Understanding of Jailbreak Attacks and Defenses in LLMs.
CoRR
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2025 — conf
Attention Tracker: Detecting Prompt Injection Attacks in LLMs.
NAACL (Findings)
Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen
2025 J jnl
Breaking Focus: Contextual Distraction Curse in Large Language Models.
CoRR
Yue Huang, Yanbo Wang, Zixiang Xu, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang
2025 J jnl
Building a Foundational Guardrail for General Agentic Systems via Synthetic Data.
CoRR
Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang
2025 A* conf
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling.
NDSS
Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li
2025 J jnl
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling.
CoRR
Kaiyuan Zhang, Siyuan Cheng, Guangyu Shen, Bruno Ribeiro, Shengwei An, Pin-Yu Chen, Xiangyu Zhang, Ninghui Li
2025 J jnl
Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis.
CoRR
Hongkang Li, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Meng Wang
2025 J jnl
CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning.
CoRR
Yung-Chen Tang, Pin-Yu Chen, Andrea Cavallaro
2025 J jnl
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles.
CoRR
Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho
2025 — conf
ColorSense: A Study on Color Vision in Machine Visual Recognition.
SaTML
Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
2025 — conf
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs.
ACL (2)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2025 J jnl
Computational Safety for Generative AI: A Signal Processing Perspective.
CoRR
Pin-Yu Chen
2025 — conf
Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks.
ACL (Findings)
Chen Xiong, Xiangyu Qi, Pin-Yu Chen, Tsung-Yi Ho
2025 A* conf
Differentiable Prompt Learning for Vision Language Models.
IJCAI
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao
2025 J jnl
Differentiable Prompt Learning for Vision Language Models.
CoRR
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao
2025 A conf
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.
WACV
Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen
2025 — conf
DivEye at PAN 2025: Diversity Boosts AI-Generated Text Detection.
CLEF (Working Notes)
Advik Raj Basani, Pin-Yu Chen
2025 J jnl
Diversity Boosts AI-Generated Text Detection.
CoRR
Advik Raj Basani, Pin-Yu Chen
2025 J jnl
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective.
Trans. Mach. Learn. Res.
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes
2025 J jnl
Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion.
CoRR
Sean Patten, Pin-Yu Chen, Christina Schweikert, D. Frank Hsu
2025 J jnl
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models.
CoRR
Huzaifa Arif, Pin-Yu Chen, Alex Gittens, James Diffenderfer, Bhavya Kailkhura
2025 J jnl
Forecasting Open-Weight AI Model Growth on Hugging Face.
CoRR
Kushal Raj Bhandari, Pin-Yu Chen, Jianxi Gao
2025 A* conf
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers.
AAAI
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
2025 J jnl
Fundamental Safety-Capability Trade-offs in Fine-tuning Large Language Models.
CoRR
Pin-Yu Chen, Han Shen, Payel Das, Tianyi Chen
2025 J jnl
Group Fair Federated Learning via Stochastic Kernel Regularization.
Trans. Mach. Learn. Res.
Huzaifa Arif, Pin-Yu Chen, Keerthiram Murugesan, Alex Gittens
2025 J jnl
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection.
CoRR
Minseok Jung, Cynthia Fuertes Panizo, Liam Dugan, Yi R. Fung, Pin-Yu Chen, Paul Pu Liang
2025 J jnl
Hey, That's My Data! Label-Only Dataset Inference in Large Language Models.
CoRR
Chen Xiong, Zihao Wang, Rui Zhu, Tsung-Yi Ho, Pin-Yu Chen, Jingwei Xiong, Haixu Tang, Lucila Ohno-Machado
2025 J jnl
ICX360: In-Context eXplainability 360 Toolkit.
CoRR
Dennis Wei, Ronny Luss, Xiaomeng Hu, Lucas Monteiro Paes, Pin-Yu Chen, Karthikeyan Natesan Ramamurthy, Erik Miehling, Inge Vejsbjerg, Hendrik Strobelt
2025 A* conf
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.
ICLR
Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2025 J jnl
LLM Agents Should Employ Security Principles.
CoRR
Kaiyuan Zhang, Zian Su, Pin-Yu Chen, Elisa Bertino, Xiangyu Zhang, Ninghui Li
2025 — conf
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data.
AISec@CCS
Changsheng Wang, Yihua Zhang, Dennis Wei, Jinghan Jia, Pin-Yu Chen, Sijia Liu
2025 J jnl
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data.
CoRR
Changsheng Wang, Yihua Zhang, Dennis Wei, Jinghan Jia, Pin-Yu Chen, Sijia Liu
2025 J jnl
Language Models Are Good Tabular Learners.
Trans. Mach. Learn. Res.
Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
2025 A* conf
Large Language Models can Become Strong Self-Detoxifiers.
ICLR
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2025 J jnl
Large Reasoning Models Learn Better Alignment from Flawed Thinking.
CoRR
Shengyun Peng, Eric Smith, Ivan Evtimov, Song Jiang, Pin-Yu Chen, Hongyuan Zhan, Haozhu Wang, Duen Horng Chau, Mahesh Pasupuleti, Jianfeng Chi
2025 J jnl
Large-Scale Data Retrieve in Road Networks With Optimized $k$-Retriever Routing.
IEEE Trans. Comput. Soc. Syst.
Bay-Yuan Hsu, Pin-Yu Chen, Chun-Yi Chen
2025 J jnl
Measuring the Robustness of Audio Deepfake Detectors.
CoRR
Xiang Li, Pin-Yu Chen, Wenqi Wei
2025 J jnl
Model Reprogramming Demystified: A Neural Tangent Kernel Perspective.
CoRR
Ming-Yu Chung, Jiashuo Fan, Hancheng Ye, Qinsi Wang, Wei-Chen Shen, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2025 Misc conf
Modular Prompt Learning Improves Vision-Language Models.
ICASSP
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao
2025 J jnl
Modular Prompt Learning Improves Vision-Language Models.
CoRR
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Jianxi Gao
2025 J jnl
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction.
CoRR
Zesheng Ye, Chengyi Cai, Ruijiang Dong, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu
2025 J jnl
OjaKV: Context-Aware Online Low-Rank KV Cache Compression with Oja's Rule.
CoRR
Yuxuan Zhu, David H. Yang, Mohammad Mohammadi Amiri, Keerthiram Murugesan, Tejaswini Pedapati, Pin-Yu Chen
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models.
CoRR
Chaoyi Zhu, Zaitang Li, Renyi Yang, Robert Birke, Pin-Yu Chen, Tsung-Yi Ho, Lydia Y. Chen
2025 — conf
PEEL the Layers and Find Yourself: Revisiting Inference-Time Data Leakage for Residual Neural Networks.
SaTML
Huzaifa Arif, Keerthiram Murugesan, Payel Das, Alex Gittens, Pin-Yu Chen
2025 J jnl
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks.
CoRR
Huzaifa Arif, Keerthiram Murugesan, Payel Das, Alex Gittens, Pin-Yu Chen
2025 A* conf
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection.
CVPR
Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang
2025 J jnl
Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models.
CoRR
Huzaifa Arif, Keerthiram Murugesan, Ching-Yun Ko, Pin-Yu Chen, Payel Das, Alex Gittens
2025 — conf
Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks.
RECOMB-CG
Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdad Ullah Khan, Pin-Yu Chen, Murray Patterson
2025 C conf
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning.
ISCAS
Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2025 A* conf
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming.
ICLR
Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
2025 J jnl
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming.
CoRR
Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
2025 A* conf
Retention Score: Quantifying Jailbreak Risks for Vision Language Models.
AAAI
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
2025 J jnl
Rethinking Data Protection in the (Generative) Artificial Intelligence Era.
CoRR
Yiming Li, Shuo Shao, Yu He, Junfeng Guo, Tianwei Zhang, Zhan Qin, Pin-Yu Chen, Michael Backes, Philip Torr, Dacheng Tao, Kui Ren
2025 A* conf
Revisiting Mode Connectivity in Neural Networks with Bezier Surface.
ICLR
Jie Ren, Pin-Yu Chen, Ren Wang
2025 A* conf
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection.
ICLR
Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen
2025 A* conf
SPARC: An AI-Based Speech Processing and Real-Time Correction System.
IJCAI
TingRay Chung, Pin-Yu Chen
2025 — conf
STAR: Spectral Truncation and Rescale for Model Merging.
NAACL (Short Papers)
Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen
2025 J jnl
STAR: Spectral Truncation and Rescale for Model Merging.
CoRR
Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen
2025 J jnl
Shape it Up! Restoring LLM Safety during Finetuning.
CoRR
Shengyun Peng, Pin-Yu Chen, Jianfeng Chi, Seongmin Lee, Duen Horng Chau
2025 J jnl
Sparse Gradient Compression for Fine-Tuning Large Language Models.
CoRR
David H. Yang, Mohammad Mohammadi Amiri, Tejaswini Pedapati, Subhajit Chaudhury, Pin-Yu Chen
2025 A* conf
TabWak: A Watermark for Tabular Diffusion Models.
ICLR
Chaoyi Zhu, Jiayi Tang, Jeroen M. Galjaard, Pin-Yu Chen, Robert Birke, Cornelis Bos, Lydia Y. Chen
2025 J jnl
The IEEE Signal Processing Society (SPS) Announces the 2026 Class of Distinguished Lecturers and Distinguished Industry Speakers [Contributors].
IEEE Signal Process. Mag.
Ghassan AlRegib, Jingdong Chen, Pin-Yu Chen, Alessandro Foi, Jianquan Liu, Scott McCloskey, Anderson Rocha, Beibei Wang, Dong Yu, Junsong Yuan
2025 J jnl
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search.
CoRR
Rongzhe Wei, Peizhi Niu, Xinjie Shen, Tony Tu, Yifan Li, Ruihan Wu, Eli Chien, Pin-Yu Chen, Olgica Milenkovic, Pan Li
2025 A* conf
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models.
AAAI
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2025 A* conf
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis.
ICLR
Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang
2025 J jnl
Unraveling the cognitive patterns of Large Language Models through module communities.
CoRR
Kushal Raj Bhandari, Pin-Yu Chen, Jianxi Gao
2025 Misc conf
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis.
ICASSP
Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2025 J jnl
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis.
CoRR
Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2025 J jnl
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning.
CoRR
Jun Qi, Chao-Han Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2025 Misc conf
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective.
ICASSP
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
2025 A* conf
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers.
ICLR
Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang
2025 J jnl
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers.
CoRR
Hongkang Li, Yihua Zhang, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2025 J jnl
Where are We in Audio Deepfake Detection? A Systematic Analysis over Generative and Detection Models.
ACM Trans. Internet Techn.
Xiang Li, Pin-Yu Chen, Wenqi Wei
2025 J jnl
Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets.
CoRR
Lei Hsiung, Tianyu Pang, Yung-Chen Tang, Linyue Song, Tsung-Yi Ho, Pin-Yu Chen, Yaoqing Yang
2024 — conf
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.
ACL (1)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 J jnl
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.
CoRR
Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 A* conf
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts.
ICML
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
2024 J jnl
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts.
CoRR
Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher D. Carothers
2024 J jnl
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity.
CoRR
Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel A. Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
2024 J jnl
AI Risk Management Should Incorporate Both Safety and Security.
CoRR
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
2024 A conf
An Effective Analytical Placement Approach to Handle Fence Region Constraint.
ICCAD
Jai-Ming Lin, Wei-Yuan Lin, Yung-Chen Chen, Pin-Yu Chen, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin
2024 J jnl
An Overview of Trustworthy AI: Advances in IP Protection, Privacy-Preserving Federated Learning, Security Verification, and GAI Safety Alignment.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Yue Zheng, Chip-Hong Chang, Shih-Hsu Huang, Pin-Yu Chen, Stjepan Picek
2024 J jnl
Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.
CoRR
Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney
2024 J jnl
Attention Tracker: Detecting Prompt Injection Attacks in LLMs.
CoRR
Kuo-Han Hung, Ching-Yun Ko, Ambrish Rawat, I-Hsin Chung, Winston H. Hsu, Pin-Yu Chen
2024 J jnl
AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens.
CoRR
Lin Lu, Hai Yan, Zenghui Yuan, Jiawen Shi, Wenqi Wei, Pin-Yu Chen, Pan Zhou
2024 A* conf
AutoVP: An Automated Visual Prompting Framework and Benchmark.
ICLR
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Si Liu, Tsung-Yi Ho
2024 A* conf
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning.
ICML
Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho
2024 J jnl
CURE: A deep learning framework pre-trained on large-scale patient data for treatment effect estimation.
Patterns
Ruoqi Liu, Pin-Yu Chen, Ping Zhang
2024 J jnl
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.
CoRR
Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 A* conf
Computational Complexity of Verifying the Group No-show Paradox.
IJCAI
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia
2024 J jnl
Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl.
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2024 J jnl
DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection.
CoRR
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
2024 Misc conf
DDI-CoCo: A Dataset for Understanding the Effect of Color Contrast in Machine-Assisted Skin Disease Detection.
ICASSP
Ming-Chang Chiu, Yingfei Wang, Yen-Ju Kuo, Pin-Yu Chen
2024 J jnl
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness.
CoRR
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
2024 J jnl
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks.
CoRR
Chen Xiong, Xiangyu Qi, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Defining and Evaluating Physical Safety for Large Language Models.
CoRR
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
2024 J jnl
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models.
CoRR
Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen
2024 — conf
Duwak: Dual Watermarks in Large Language Models.
ACL (Findings)
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
2024 J jnl
Duwak: Dual Watermarks in Large Language Models.
CoRR
Chaoyi Zhu, Jeroen Galjaard, Pin-Yu Chen, Lydia Y. Chen
2024 A* conf
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift.
AAAI
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
2024 J jnl
Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering.
CoRR
Youngsun Lim, Hojun Choi, Pin-Yu Chen, Hyunjung Shim
2024 A* conf
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
ICLR
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
2024 J jnl
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers.
CoRR
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
2024 A* conf
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models.
NeurIPS
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
2024 A* conf
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes.
NeurIPS
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes.
CoRR
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Graph is all you need? Lightweight data-agnostic neural architecture search without training.
CoRR
Zhenhan Huang, Tejaswini Pedapati, Pin-Yu Chen, Chunheng Jiang, Jianxi Gao
2024 J jnl
Guest Editorial: Toward Trustworthy AI: Advances in Circuits, Systems, and Applications.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Shih-Hsu Huang, Pin-Yu Chen, Stjepan Picek, Chip-Hong Chang
2024 A* conf
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
ICML
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024 J jnl
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance.
CoRR
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024 — conf
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
SaTML
Chulin Xie, Pin-Yu Chen, Qinbin Li, Arash Nourian, Ce Zhang, Bo Li
2024 J jnl
Improving Transformers using Faithful Positional Encoding.
CoRR
Tsuyoshi Idé, Jokin Labaien, Pin-Yu Chen
2024 J jnl
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models.
CoRR
Zhi-Yi Chin, Kuan-Chen Mu, Mario Fritz, Pin-Yu Chen, Wei-Chen Chiu
2024 A* conf
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
ICLR
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Engsiong Chng, Chao-Han Huck Yang
2024 J jnl
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
CoRR
Chen Chen, Ruizhe Li, Yuchen Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng, Chao-Han Huck Yang
2024 J jnl
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.
CoRR
Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2024 J jnl
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs.
CoRR
Yujun Zhou, Jingdong Yang, Kehan Guo, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2024 — conf
Language Agnostic Code Embeddings.
NAACL-HLT
Saiteja Utpala, Alex Gu, Pin-Yu Chen
2024 A* conf
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition.
ICLR
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Engsiong Chng
2024 J jnl
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition.
CoRR
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang, Pin-Yu Chen, Eng Siong Chng
2024 J jnl
Large Language Models can be Strong Self-Detoxifiers.
CoRR
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Youssef Mroueh, Soham Dan, Georgios Kollias, Subhajit Chaudhury, Tejaswini Pedapati, Luca Daniel
2024 A* conf
Larimar: Large Language Models with Episodic Memory Control.
ICML
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 J jnl
Larimar: Large Language Models with Episodic Memory Control.
CoRR
Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen
2024 — conf
Latency Attack Resilience in Object Detectors: Insights from Computing Architecture.
ACCV (8)
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
2024 A* conf
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series.
ICML
Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu
2024 — conf
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis.
SAM
Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024 J jnl
Learning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis.
CoRR
Hongkang Li, Meng Wang, Shuai Zhang, Sijia Liu, Pin-Yu Chen
2024 J jnl
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits.
CoRR
Jun Qi, Chao-Han Huck Yang, Samuel Yen-Chi Chen, Pin-Yu Chen, Hector Zenil, Jesper Tegnér
2024 J jnl
Linking Robustness and Generalization: A k* Distribution Analysis of Concept Clustering in Latent Space for Vision Models.
CoRR
Shashank Kotyan, Pin-Yu Chen, Danilo Vasconcellos Vargas
2024 J jnl
MENTOR: Multilingual tExt detectioN TOward leaRning by analogy.
CoRR
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
2024 A conf
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where.
WACV
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2024 J jnl
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models.
CoRR
Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma
2024 J jnl
Model Agnostic Contrastive Explanations for Classification Models.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri
2024 — conf
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders.
SaTML
Andrew Geng, Pin-Yu Chen
2024 J jnl
Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders.
CoRR
Andrew Geng, Pin-Yu Chen
2024 A* conf
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning.
AAAI
Pin-Yu Chen
2024 — conf
MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems.
ASPLOS (2)
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury
2024 J jnl
NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks.
CoRR
Yi-Shan Lan, Pin-Yu Chen, Tsung-Yi Ho
2024 A* conf
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.
NeurIPS
Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
2024 J jnl
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models.
CoRR
Shengyun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
2024 J jnl
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration.
Trans. Mach. Learn. Res.
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
2024 A* conf
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes.
NeurIPS
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
2024 — conf
On Dark Knowledge for Distilling Generators.
PAKDD (2)
Chi Hong, Robert Birke, Pin-Yu Chen, Lydia Y. Chen
2024 A* conf
Overload: Latency Attacks on Object Detection for Edge Devices.
CVPR
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
2024 J jnl
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection.
CoRR
Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang
2024 J jnl
Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks.
CoRR
Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdad Ullah Khan, Pin-Yu Chen, Murray Patterson
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 A* conf
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts.
ICML
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2024 J jnl
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning.
CoRR
Jun Qi, Chao-Han Yang, Samuel Yen-Chi Chen, Pin-Yu Chen
2024 J jnl
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection.
CoRR
Zhiyuan He, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Retention Score: Quantifying Jailbreak Risks for Vision Language Models.
CoRR
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
2024 A* conf
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective.
ICLR
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
2024 A* conf
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
ICML
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024 J jnl
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024 A* conf
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
ICLR
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024 J jnl
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection.
CoRR
Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen
2024 A* conf
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.
ICML
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024 J jnl
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.
CoRR
Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024 J jnl
SONAR: A Synthetic AI-Audio Detection Framework and Benchmark.
CoRR
Xiang Li, Pin-Yu Chen, Wenqi Wei
2024 A* conf
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models.
NeurIPS
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024 J jnl
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models.
CoRR
Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2024 A* conf
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models.
NeurIPS
Yuchen Hu, Chen Chen, Chao-Han Yang, Chengwei Qin, Pin-Yu Chen, Engsiong Chng, Chao Zhang
2024 J jnl
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models.
CoRR
Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
2024 A* conf
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.
KDD
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
2024 J jnl
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.
CoRR
Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
2024 J jnl
Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks.
CoRR
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
2024 J jnl
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl.
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2024 A* conf
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models.
ICLR
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
2024 J jnl
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models.
CoRR
Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
2024 A* conf
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
ICLR
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2024 J jnl
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations.
Trans. Mach. Learn. Res.
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar
2024 J jnl
Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models.
CoRR
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2024 J jnl
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis.
CoRR
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024 J jnl
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis.
CoRR
Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024 — conf
Uncovering the Hidden Cost of Model Compression.
CVPR Workshops
Diganta Misra, Muawiz Chaudhary, Agam Goyal, Bharat Runwal, Pin-Yu Chen
2024 J jnl
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models.
CoRR
Chung-Ting Tsai, Ching-Yun Ko, I-Hsin Chung, Yu-Chiang Frank Wang, Pin-Yu Chen
2024 Misc conf
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning.
ICASSP
Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
2024 A* conf
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding.
ICML
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2024 J jnl
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding.
CoRR
Hongkang Li, Meng Wang, Tengfei Ma, Sijia Liu, Zaixi Zhang, Pin-Yu Chen
2024 A* conf
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks.
ICML
Ching-Yun Ko, Pin-Yu Chen, Payel Das, Jeet Mohapatra, Luca Daniel
2024 J jnl
When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective.
CoRR
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
2023 A* conf
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
ICLR
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
2023 J jnl
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
CoRR
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen
2023 J jnl
AI Maintenance: A Robustness Perspective.
Computer
Pin-Yu Chen, Payel Das
2023 J jnl
AI Maintenance: A Robustness Perspective.
CoRR
Pin-Yu Chen, Payel Das
2023 J jnl
AutoVP: An Automated Visual Prompting Framework and Benchmark.
CoRR
Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho
2023 A* conf
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems.
DAC
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023 J jnl
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems.
CoRR
Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury
2023 A* conf
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification.
ICCV
Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
2023 J jnl
Causal Video Summarizer for Video Exploration.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2023 — conf
Causalainer: Causal Explainer for Automatic Video Summarization.
CVPR Workshops
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 J jnl
Causalainer: Causal Explainer for Automatic Video Summarization.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 J jnl
Certified Interpretability Robustness for Class Activation Mapping.
CoRR
Alex Gu, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2023 Misc conf
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise.
ICASSP
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2023 A* conf
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data.
ICML
Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
2023 A conf
Computational Complexity of Verifying the Group No-show Paradox.
AAMAS
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi, Lirong Xia
2023 J jnl
Conditional Modeling Based Automatic Video Summarization.
CoRR
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring
2023 A conf
Convex Bounds on the Softmax Function with Applications to Robustness Verification.
AISTATS
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi
2023 J jnl
Convex Bounds on the Softmax Function with Applications to Robustness Verification.
CoRR
Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi
2023 — conf
Counterfactually Guided Policy Transfer in Clinical Settings.
CHIL
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
2023 J jnl
Diagnostic Spatio-temporal Transformer with Faithful Encoding.
CoRR
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023 J jnl
Diagnostic spatio-temporal transformer with faithful encoding.
Knowl. Based Syst.
Jokin Labaien, Tsuyoshi Idé, Pin-Yu Chen, Ekhi Zugasti, Xabier De Carlos
2023 J jnl
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift.
CoRR
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang
2023 J jnl
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
IEEE ACM Trans. Audio Speech Lang. Process.
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2023 J jnl
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers.
CoRR
Xilong Wang, Chia-Mu Yu, Pin-Yu Chen
2023 A* conf
Exploring the Benefits of Visual Prompting in Differential Privacy.
ICCV
Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren
2023 J jnl
Exploring the Benefits of Visual Prompting in Differential Privacy.
CoRR
Yizhe Li, Yu-Lin Tsai, Xuebin Ren, Chia-Mu Yu, Pin-Yu Chen
2023 A* conf
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.
ICLR
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2023 J jnl
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
CoRR
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, Peter Henderson
2023 J jnl
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models.
CoRR
Zaitang Li, Pin-Yu Chen, Tsung-Yi Ho
2023 A* conf
Holistic Adversarial Robustness of Deep Learning Models.
AAAI
Pin-Yu Chen, Sijia Liu
2023 A* conf
How to Backdoor Diffusion Models?
CVPR
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
2023 A* conf
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models.
NeurIPS
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Chng Eng Siong
2023 J jnl
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models.
CoRR
Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Pin-Yu Chen, Eng Siong Chng
2023 A* conf
Identification of the Adversary from a Single Adversarial Example.
ICML
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
2023 — conf
Inference and Denoise: Causal Inference-Based Neural Speech Enhancement.
MLSP
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
2023 A* conf
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks.
ICLR
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023 J jnl
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks.
CoRR
Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023 J jnl
Language Agnostic Code Embeddings.
CoRR
Saiteja Utpala, Alex Gu, Pin-Yu Chen
2023 A* conf
Learning to Design Fair and Private Voting Rules (Extended Abstract).
IJCAI
Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
2023 — conf
Less is More: Dimension Reduction Finds On-Manifold Adversarial Examples in Hard-Label Attacks.
SaTML
Washington Garcia, Pin-Yu Chen, Hamilton Scott Clouse, Somesh Jha, Kevin R. B. Butler
2023 — conf
Locally Differentially Private Document Generation Using Zero Shot Prompting.
EMNLP (Findings)
Saiteja Utpala, Sara Hooker, Pin-Yu Chen
2023 J jnl
Locally Differentially Private Document Generation Using Zero Shot Prompting.
CoRR
Saiteja Utpala, Sara Hooker, Pin-Yu Chen
2023 Misc conf
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation.
ICASSP
Neel Bhandari, Pin-Yu Chen
2023 J jnl
Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation.
CoRR
Neel Bhandari, Pin-Yu Chen
2023 Misc conf
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming.
ICASSP
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
2023 A conf
MENTOR: Multilingual Text Detection Toward Learning by Analogy.
IROS
Hsin-Ju Lin, Tsu-Chun Chung, Ching-Chun Hsiao, Pin-Yu Chen, Wei-Chen Chiu, Ching-Chun Huang
2023 J jnl
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where.
CoRR
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2023 A* conf
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks.
ICML
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023 J jnl
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks.
CoRR
Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal
2023 A* conf
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration.
AAAI
Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
2023 A conf
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition.
INTERSPEECH
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
2023 J jnl
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes.
CoRR
Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
2023 A* conf
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
NeurIPS
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023 J jnl
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR
Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023 J jnl
Overload: Latency Attacks on Object Detection for Edge Devices.
CoRR
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung, Che-Rung Lee
2023 A* conf
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks.
ICML
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2023 J jnl
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks.
CoRR
Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2023 A conf
Pessimistic Model Selection for Offline Deep Reinforcement Learning.
UAI
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2023 J jnl
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts.
CoRR
Zhi-Yi Chin, Chieh-Ming Jiang, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2023 A* conf
RADAR: Robust AI-Text Detection via Adversarial Learning.
NeurIPS
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2023 J jnl
RADAR: Robust AI-Text Detection via Adversarial Learning.
CoRR
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
2023 — conf
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming.
SaTML
Huzaifa Arif, Alex Gittens, Pin-Yu Chen
2023 A* conf
Reprogramming Pretrained Language Models for Antibody Sequence Infilling.
ICML
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2023 J jnl
Reprogramming Pretrained Language Models for Protein Sequence Representation Learning.
CoRR
Ria Vinod, Pin-Yu Chen, Payel Das
2023 J jnl
Reprogramming under constraints: Revisiting efficient and reliable transferability of lottery tickets.
CoRR
Diganta Misra, Agam Goyal, Bharat Runwal, Pin-Yu Chen
2023 J jnl
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective.
CoRR
Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
2023 J jnl
Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
CoRR
Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
2023 J jnl
Robust Event Classification Using Imperfect Real-World PMU Data.
IEEE Internet Things J.
Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang
2023 A* conf
Robust Mixture-of-Expert Training for Convolutional Neural Networks.
ICCV
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023 J jnl
Robust Mixture-of-Expert Training for Convolutional Neural Networks.
CoRR
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023 — conf
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation.
MICCAI (1)
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
2023 J jnl
Spectral Adversarial MixUp for Few-Shot Unsupervised Domain Adaptation.
CoRR
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
2023 J jnl
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
CoRR
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2023 A* conf
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations.
CVPR
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
2023 A conf
Treatment Learning Causal Transformer for Noisy Image Classification.
WACV
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2023 A* conf
Uncovering and Quantifying Social Biases in Code Generation.
NeurIPS
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
2023 J jnl
Uncovering and Quantifying Social Biases in Code Generation.
CoRR
Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
2023 A* conf
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CVPR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2023 A* conf
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
CCS
Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li
2023 — conf
Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences.
ISBRA
Sarwan Ali, Pin-Yu Chen, Murray Patterson
2023 A* conf
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models.
NeurIPS
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
2023 J jnl
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models.
CoRR
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
2023 J jnl
Virus2Vec: Viral Sequence Classification Using Machine Learning.
CoRR
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdad Ullah Khan, Murray Patterson
2023 Misc conf
Visual Prompting for Adversarial Robustness.
ICASSP
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
2023 A* conf
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective.
AAAI
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
2023 A* conf
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.
ICML
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
2023 J jnl
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression.
CoRR
Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman
2022 — conf
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness.
ECCV (4)
Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
2022 — conf
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.
NAACL-HLT
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo
2022 J jnl
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction.
CoRR
Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo
2022 A* conf
AI Explainability 360: Impact and Design.
AAAI
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2022 J jnl
Active Sampling of Multiple Sources for Sequential Estimation.
CoRR
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2022 J jnl
Active Sampling of Multiple Sources for Sequential Estimation.
IEEE Trans. Signal Process.
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2022 A* conf
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.
AAAI
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu
2022 J jnl
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization.
CoRR
Elvin Lo, Pin-Yu Chen
2022 A conf
Analyzing and Improving Resilience and Robustness of Autonomous Systems.
ICCAD
Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury
2022 A* conf
Auto-Transfer: Learning to Route Transferable Representations.
ICLR
Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar
2022 J jnl
Auto-Transfer: Learning to Route Transferrable Representations.
CoRR
Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar
2022 J jnl
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning.
CoRR
Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho
2022 J jnl
Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification.
CoRR
Sarwan Ali, Bikram Sahoo, Alexander Zelikovskiy, Pin-Yu Chen, Murray Patterson
2022 J jnl
Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation?
CoRR
Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
2022 A* conf
CARBEN: Composite Adversarial Robustness Benchmark.
IJCAI
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
2022 J jnl
CARBEN: Composite Adversarial Robustness Benchmark.
CoRR
Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
2022 A* conf
CAT: Customized Adversarial Training for Improved Robustness.
IJCAI
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
2022 A conf
Causal Video Summarizer for Video Exploration.
ICME
Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Andrew Brown, Marcel Worring
2022 J jnl
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise.
CoRR
Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo
2022 — ch.
Data Leakage in Federated Learning.
Federated Learning
Xiao Jin, Pin-Yu Chen, Tianyi Chen
2022 J jnl
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale.
CoRR
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 A conf
Distributed adversarial training to robustify deep neural networks at scale.
UAI
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 J jnl
Evaluating the Adversarial Robustness for Fourier Neural Operators.
CoRR
Abolaji D. Adesoji, Pin-Yu Chen
2022 J jnl
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Javier Tejedor
2022 J jnl
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.
CoRR
Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
2022 A* conf
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
ICML
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022 J jnl
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
CoRR
Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022 J jnl
Holistic Adversarial Robustness of Deep Learning Models.
CoRR
Pin-Yu Chen, Sijia Liu
2022 J jnl
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
CoRR
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022 J jnl
How to Backdoor Diffusion Models?
CoRR
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho
2022 A* conf
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis.
ICLR
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2022 J jnl
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
CoRR
Chulin Xie, Pin-Yu Chen, Ce Zhang, Bo Li
2022 J jnl
Inference and Denoise: Causal Inference-based Neural Speech Enhancement.
CoRR
Tsun-An Hsieh, Chao-Han Huck Yang, Pin-Yu Chen, Sabato Marco Siniscalchi, Yu Tsao
2022 C conf
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
IPCCC
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 J jnl
Iterative Qubits Management for Quantum Index Searching in a Hybrid System.
CoRR
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022 — conf
Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series.
ICAIF
Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder
2022 J jnl
Learning Geometrically Disentangled Representations of Protein Folding Simulations.
CoRR
N. Joseph Tatro, Payel Das, Pin-Yu Chen, Vijil Chenthamarakshan, Rongjie Lai
2022 J jnl
Learning to Design Fair and Private Voting Rules.
J. Artif. Intell. Res.
Farhad Mohsin, Ao Liu, Pin-Yu Chen, Francesca Rossi, Lirong Xia
2022 A* conf
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.
ICML
Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022 J jnl
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.
CoRR
Tianlong Chen, Huan Zhang, Zhenyu Zhang, Shiyu Chang, Sijia Liu, Pin-Yu Chen, Zhangyang Wang
2022 J jnl
Low-Resource Music Genre Classification with Advanced Neural Model Reprogramming.
CoRR
Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch
2022 A* conf
MAML is a Noisy Contrastive Learner in Classification.
ICLR
Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen
2022 A* conf
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis.
NeurIPS
Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2022 J jnl
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning.
CoRR
Pin-Yu Chen
2022 J jnl
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration.
CoRR
Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
2022 J jnl
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics.
CoRR
Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao
2022 J jnl
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration.
CoRR
Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
2022 J jnl
On Certifying and Improving Generalization to Unseen Domains.
CoRR
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2022 J jnl
On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study.
CoRR
Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
2022 J jnl
On the Adversarial Robustness of Vision Transformers.
Trans. Mach. Learn. Res.
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2022 J jnl
Optimizing molecules using efficient queries from property evaluations.
Nat. Mach. Intell.
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
2022 Misc conf
Real-World Adversarial Examples Via Makeup.
ICASSP
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2022 J jnl
Reprogramming Large Pretrained Language Models for Antibody Sequence Infilling.
CoRR
Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das
2022 J jnl
Rethinking Normalization Methods in Federated Learning.
CoRR
Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen
2022 A* conf
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework.
ICML
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2022 B conf
Robust Text CAPTCHAs Using Adversarial Examples.
IEEE Big Data
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2022 A* conf
SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment.
AAAI
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
2022 A* conf
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning.
ICML
Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen
2022 J jnl
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning.
CoRR
Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen
2022 J jnl
Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization.
CoRR
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2022 J jnl
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data.
CoRR
Ching-Yun Ko, Pin-Yu Chen, Jeet Mohapatra, Payel Das, Luca Daniel
2022 A* conf
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022).
KDD
Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu
2022 J jnl
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hsiu Hsieh
2022 J jnl
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations.
CoRR
Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
2022 A* conf
Towards Creativity Characterization of Generative Models via Group-Based Subset Scanning.
IJCAI
Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
2022 J jnl
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning.
CoRR
Celia Cintas, Payel Das, Brian Quanz, Girmaw Abebe Tadesse, Skyler Speakman, Pin-Yu Chen
2022 A* conf
Training a Resilient Q-network against Observational Interference.
AAAI
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
2022 J jnl
Treatment Learning Transformer for Noisy Image Classification.
CoRR
Chao-Han Huck Yang, I-Te Danny Hung, Yi-Chieh Liu, Pin-Yu Chen
2022 J jnl
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks.
CoRR
Chulin Xie, Yunhui Long, Pin-Yu Chen, Bo Li
2022 J jnl
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CoRR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2022 A* conf
Vision Transformers Are Robust Learners.
AAAI
Sayak Paul, Pin-Yu Chen
2022 J jnl
Visual Prompting for Adversarial Robustness.
CoRR
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
2022 Misc conf
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
ICASSP
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2022 J jnl
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing.
CoRR
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen
2022 Misc conf
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution.
ICASSP
Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu
2022 J jnl
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective.
CoRR
Jiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan
2022 A* conf
Zeroth-Order Optimization for Composite Problems with Functional Constraints.
AAAI
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2021 J jnl
A Study of Low-Resource Speech Commands Recognition based on Adversarial Reprogramming.
CoRR
Hao Yen, Pin-Jui Ku, Chao-Han Huck Yang, Hu Hu, Sabato Marco Siniscalchi, Pin-Yu Chen, Yu Tsao
2021 — conf
AI Explainability 360 Toolkit.
COMAD/CODS
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2021 J jnl
AI Explainability 360: Impact and Design.
CoRR
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2021 A* conf
AID: Attesting the Integrity of Deep Neural Networks.
DAC
Omid Aramoon, Pin-Yu Chen, Gang Qu
2021 B conf
Active Binary Classification of Random Fields.
ISIT
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2021 Misc conf
Active Estimation From Multimodal Data.
ICASSP
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2021 A* conf
Adversarial Attack Generation Empowered by Min-Max Optimization.
NeurIPS
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2021 J jnl
Adversarial Examples for Unsupervised Machine Learning Models.
CoRR
Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu
2021 J jnl
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records.
CoRR
Yiqin Yu, Pin-Yu Chen, Yuan Zhou, Jing Mei
2021 A* conf
Best Arm Identification in Contaminated Stochastic Bandits.
NeurIPS
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2021 J jnl
CAFE: Catastrophic Data Leakage in Vertical Federated Learning.
CoRR
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
2021 A* conf
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks.
ICML
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021 J jnl
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks.
CoRR
Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021 A* conf
Catastrophic Data Leakage in Vertical Federated Learning.
NeurIPS
Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen
2021 J jnl
Causal Inference Q-Network: Toward Resilient Reinforcement Learning.
CoRR
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang, Pin-Yu Chen
2021 J jnl
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines.
CoRR
Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao
2021 A* conf
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
IJCAI
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
2021 A* conf
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.
AAAI
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021 J jnl
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning.
CoRR
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021 Misc conf
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
ICASSP
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2021 Misc conf
Domain Adaptation for Learning Generator From Paired Few-Shot Data.
ICASSP
Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu
2021 J jnl
Domain Adaptation for Learning Generator from Paired Few-Shot Data.
CoRR
Chun-Chih Teng, Pin-Yu Chen, Wei-Chen Chiu
2021 — conf
Don't Forget to Sign the Gradients!
MLSys
Omid Aramoon, Pin-Yu Chen, Gang Qu
2021 J jnl
Don't Forget to Sign the Gradients!
CoRR
Omid Aramoon, Pin-Yu Chen, Gang Qu
2021 J jnl
Editorial: Safe and Trustworthy Machine Learning.
Frontiers Big Data
Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li
2021 A* conf
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks.
AAAI
Maurício Gruppi, Pin-Yu Chen, Sibel Adali
2021 J jnl
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks.
CoRR
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
2021 A* conf
Fast Training of Provably Robust Neural Networks by SingleProp.
AAAI
Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021 J jnl
Fast Training of Provably Robust Neural Networks by SingleProp.
CoRR
Akhilan Boopathy, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel
2021 A* conf
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
ICML
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
2021 J jnl
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
CoRR
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
2021 A* conf
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations.
NeurIPS
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations.
CoRR
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Gi and Pal Scores: Deep Neural Network Generalization Statistics.
CoRR
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
2021 J jnl
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples.
CoRR
Washington Garcia, Pin-Yu Chen, Somesh Jha, Scott Clouse, Kevin R. B. Butler
2021 A conf
Hidden Cost of Randomized Smoothing.
AISTATS
Jeet Mohapatra, Ching-Yun Ko, Lily Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2021 J jnl
High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
CoRR
Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin
2021 A* conf
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?
CVPR
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2021 J jnl
How and When Adversarial Robustness Transfers in Knowledge Distillation?
CoRR
Rulin Shao, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021 J jnl
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case.
IEEE Trans. Neural Networks Learn. Syst.
Shuai Zhang, Meng Wang, Jinjun Xiong, Sijia Liu, Pin-Yu Chen
2021 A* conf
Leveraging Latent Features for Local Explanations.
KDD
Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Yunfeng Zhang, Karthikeyan Shanmugam, Chun-Chen Tu
2021 J jnl
MAML is a Noisy Contrastive Learner.
CoRR
Chia-Hsiang Kao, Wei-Chen Chiu, Pin-Yu Chen
2021 J jnl
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis.
CoRR
Yu Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
2021 J jnl
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination.
CoRR
Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
2021 J jnl
Meta Adversarial Perturbations.
CoRR
Chia-Hung Yuan, Pin-Yu Chen, Chia-Mu Yu
2021 J jnl
Meta Federated Learning.
CoRR
Omid Aramoon, Pin-Yu Chen, Gang Qu, Yuan Tian
2021 J jnl
Network Graph Based Neural Architecture Search.
CoRR
Zhenhan Huang, Chunheng Jiang, Pin-Yu Chen, Jianxi Gao
2021 Misc conf
Non-Singular Adversarial Robustness of Neural Networks.
ICASSP
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 J jnl
Non-Singular Adversarial Robustness of Neural Networks.
CoRR
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021 A* conf
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning.
ICLR
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021 J jnl
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning.
CoRR
Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021 J jnl
On the Adversarial Robustness of Visual Transformers.
CoRR
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021 J jnl
Pessimistic Model Selection for Offline Deep Reinforcement Learning.
CoRR
Chao-Han Huck Yang, Zhengling Qi, Yifan Cui, Pin-Yu Chen
2021 A* conf
Predicting Deep Neural Network Generalization with Perturbation Response Curves.
NeurIPS
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
2021 J jnl
Predicting Deep Neural Network Generalization with Perturbation Response Curves.
CoRR
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
2021 J jnl
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks.
CoRR
Jun Qi, Chao-Han Huck Yang, Pin-Yu Chen
2021 A conf
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization.
AISTATS
Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2021 J jnl
Real-World Adversarial Examples involving Makeup Application.
CoRR
Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2021 J jnl
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework.
CoRR
Ching-Yun Ko, Jeet Mohapatra, Sijia Liu, Pin-Yu Chen, Luca Daniel, Lily Weng
2021 J jnl
Robust Event Classification Using Imperfect Real-world PMU Data.
CoRR
Yunchuan Liu, Lei Yang, Amir Ghasemkhani, Hanif Livani, Virgilio A. Centeno, Pin-Yu Chen, Junshan Zhang
2021 J jnl
Robust Text CAPTCHAs Using Adversarial Examples.
CoRR
Rulin Shao, Zhouxing Shi, Jinfeng Yi, Pin-Yu Chen, Cho-Jui Hsieh
2021 J jnl
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
CoRR
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2021 B conf
Self-Attentive Recommendation for Multi-Source Review Package.
IJCNN
Pin-Yu Chen, Yu-Hsiu Chen, Hong-Han Shuai, Yung-Ju Chang
2021 A* conf
Self-Progressing Robust Training.
AAAI
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
2021 J jnl
Simple Transparent Adversarial Examples.
CoRR
Jaydeep Borkar, Pin-Yu Chen
2021 — conf
The SenSE Toolkit: A System for Visualization and Explanation of Semantic Shift.
NeurIPS (Competition and Demos)
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
2021 A* conf
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021).
KDD
Pin-Yu Chen, Cho-Jui Hsieh, Bo Li, Sijia Liu
2021 J jnl
Towards creativity characterization of generative models via group-based subset scanning.
CoRR
Celia Cintas, Payel Das, Brian Quanz, Skyler Speakman, Victor Akinwande, Pin-Yu Chen
2021 A* conf
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning.
NeurIPS
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2021 J jnl
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning.
CoRR
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2021 J jnl
Vision Transformers are Robust Learners.
CoRR
Sayak Paul, Pin-Yu Chen
2021 A* conf
Voice2Series: Reprogramming Acoustic Models for Time Series Classification.
ICML
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
2021 J jnl
Voice2Series: Reprogramming Acoustic Models for Time Series Classification.
CoRR
Chao-Han Huck Yang, Yun-Yun Tsai, Pin-Yu Chen
2021 J jnl
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
CoRR
Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan
2021 A* conf
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
NeurIPS
Lijie Fan, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Chuang Gan
2021 J jnl
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks.
CoRR
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2021 A* conf
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks.
NeurIPS
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020 J jnl
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm.
CoRR
Orlando Romero, Subhro Das, Pin-Yu Chen, Sérgio Pequito
2020 J jnl
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning.
CoRR
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney
2020 J jnl
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications.
IEEE Signal Process. Mag.
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred O. Hero III, Pramod K. Varshney
2020 J jnl
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
J. Mach. Learn. Res.
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020 — conf
AI explainability 360: hands-on tutorial.
FAT*
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020 J jnl
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR
Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic
2020 Misc conf
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks.
ICASSP
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020 J jnl
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks.
CoRR
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020 — conf
Adversarial T-Shirt! Evading Person Detectors in a Physical World.
ECCV (5)
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2020 J jnl
Block Switching: A Stochastic Approach for Deep Learning Security.
CoRR
Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin
2020 A* conf
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.
ICLR
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020 J jnl
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.
CoRR
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020 J jnl
CAT: Customized Adversarial Training for Improved Robustness.
CoRR
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
2020 Misc conf
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement.
ICASSP
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020 J jnl
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement.
CoRR
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Chin-Hui Lee
2020 A* conf
DBA: Distributed Backdoor Attacks against Federated Learning.
ICLR
Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
2020 J jnl
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition.
CoRR
Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee
2020 J jnl
Defending against Backdoor Attack on Deep Neural Networks.
CoRR
Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin
2020 Misc conf
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning.
ICASSP
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020 J jnl
Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning.
CoRR
Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Yi Ouyang, I-Te Danny Hung, Chin-Hui Lee, Xiaoli Ma
2020 A* conf
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case.
ICML
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020 J jnl
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case.
CoRR
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020 J jnl
Fluid intelligence is associated with cortical volume and white matter tract integrity within multiple-demand system across adult lifespan.
NeuroImage
Pin-Yu Chen, Chang-Le Chen, Yung-Chin Hsu, Cam-CAN Group, Wen-Yih Isaac Tseng
2020 Misc conf
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent.
CISS
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
2020 A* conf
Higher-Order Certification For Randomized Smoothing.
NeurIPS
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020 J jnl
Higher-Order Certification for Randomized Smoothing.
CoRR
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020 J jnl
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
CoRR
Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm
2020 A* conf
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing.
ICML
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney
2020 A* conf
Optimizing Mode Connectivity via Neuron Alignment.
NeurIPS
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai
2020 J jnl
Optimizing Mode Connectivity via Neuron Alignment.
CoRR
N. Joseph Tatro, Pin-Yu Chen, Payel Das, Igor Melnyk, Prasanna Sattigeri, Rongjie Lai
2020 J jnl
Optimizing Molecules using Efficient Queries from Property Evaluations.
CoRR
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
2020 — conf
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases.
ECCV (23)
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020 J jnl
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases.
CoRR
Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020 A* conf
Proper Network Interpretability Helps Adversarial Robustness in Classification.
ICML
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020 J jnl
Proper Network Interpretability Helps Adversarial Robustness in Classification.
CoRR
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang, Cynthia Liu, Pin-Yu Chen, Shiyu Chang, Luca Daniel
2020 A* conf
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.
AAAI
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li
2020 J jnl
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.
CoRR
Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
2020 J jnl
Reprogramming Language Models for Molecular Representation Learning.
CoRR
Ria Vinod, Pin-Yu Chen, Payel Das
2020 J jnl
Rethinking Randomized Smoothing for Adversarial Robustness.
CoRR
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel
2020 — conf
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change.
SemEval@COLING
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
2020 J jnl
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change.
CoRR
Maurício Gruppi, Sibel Adali, Pin-Yu Chen
2020 A* conf
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
NeurIPS
Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2020 J jnl
Self-Progressing Robust Training.
CoRR
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
2020 A* conf
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
AAAI
Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
2020 A* conf
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.
ICLR
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
2020 A* conf
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization.
AAAI
Yu-Hsiu Chen, Pin-Yu Chen, Hong-Han Shuai, Wen-Chih Peng
2020 A* conf
Toward a neuro-inspired creative decoder.
IJCAI
Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah
2020 A* conf
Towards Certificated Model Robustness Against Weight Perturbations.
AAAI
Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel
2020 A* conf
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent.
AAAI
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
2020 J jnl
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent.
CoRR
Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin
2020 A* conf
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations.
CVPR
Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2020 Misc conf
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
ICASSP
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2020 J jnl
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks.
CoRR
Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
2020 A* conf
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources.
ICML
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
2020 J jnl
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources.
CoRR
Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
2020 J jnl
Variational Quantum Circuits for Deep Reinforcement Learning.
IEEE Access
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan
2020 J jnl
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework.
CoRR
Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney
2019 J jnl
A scalable attribute-aware network embedding system.
Neurocomputing
Weiyi Liu, Zhining Liu, Fucai Yu, Pin-Yu Chen, Toyotaro Suzumura, Guangmin Hu
2019 — conf
An Exploration on the Effect of Augmented Reality Learning System on Situational Interest in Historical Building Guide.
IIAI-AAI
Ya-Chuan Kao, Kai-Yi Chin, Ching-Sheng Wang, Pin-Yu Chen
2019 J jnl
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy.
CoRR
Sanghamitra Dutta, Dennis Wei, Hazar Yueksel, Pin-Yu Chen, Sijia Liu, Kush R. Varshney
2019 A* conf
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks.
AAAI
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
2019 J jnl
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense.
CoRR
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
2019 A* conf
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks.
AAAI
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019 A conf
Characterizing Adversarial Subspaces by Mutual Information.
AsiaCCS
Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu
2019 — conf
Characterizing Audio Adversarial Examples Using Temporal Dependency.
ICLR (Poster)
Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song
2019 J jnl
Corrections to "Learning Graph Topological Features via GAN".
IEEE Access
Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu, Hal James Cooper, Min-hwan Oh, Sailung Yeung
2019 — conf
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
SysML
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alex Dimakis, Inderjit S. Dhillon, Michael Witbrock
2019 J jnl
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach.
CoRR
Pin-Yu Chen, Sutanay Choudhury, Luke Rodriguez, Alfred O. Hero III, Indrajit Ray
2019 J jnl
Evading Real-Time Person Detectors by Adversarial T-shirt.
CoRR
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
2019 A* conf
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications.
ICML
Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse
2019 J jnl
Generating Contrastive Explanations with Monotonic Attribute Functions.
CoRR
Ronny Luss, Pin-Yu Chen, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam, Chun-Chen Tu
2019 J jnl
Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT.
IEEE Internet Things J.
Kai Yang, Sijia Liu, Lin Cai, Yasin Yilmaz, Pin-Yu Chen, Anwar Walid
2019 J jnl
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach.
IEEE Trans. Signal Inf. Process. over Networks
Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III
2019 J jnl
Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing.
IEEE Access
Chun-Chen Tu, Pin-Yu Chen, Naisyin Wang
2019 J jnl
Learning Graph Topological Features via GAN.
IEEE Access
Weiyi Liu, Pin-Yu Chen, Fucai Yu, Toyotaro Suzumura, Guangmin Hu
2019 J jnl
Model Agnostic Contrastive Explanations for Structured Data.
CoRR
Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri
2019 J jnl
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.
Data Sci. Eng.
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2019 B conf
Neural-brane: an inductive approach for attributed network embedding.
ASONAM
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2019 A* conf
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method.
ICCV
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
2019 J jnl
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method.
CoRR
Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
2019 J jnl
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques.
CoRR
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2019 A* conf
PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach.
ICML
Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
2019 A* conf
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
IJCAI
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin
2019 J jnl
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses.
CoRR
Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Peter Chin
2019 — conf
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.
ICLR (Poster)
Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2019 A* conf
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning.
KDD
Pin-Yu Chen, Sijia Liu
2019 J jnl
Reinforcement Learning based Interconnection Routing for Adaptive Traffic Optimization.
CoRR
Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019 — conf
Reinforcement learning based interconnection routing for adaptive traffic optimization.
NOCS
Sheng-Chun Kao, Chao-Han Huck Yang, Pin-Yu Chen, Xiaoli Ma, Tushar Krishna
2019 J jnl
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.
CoRR
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
2019 — conf
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
ICLR (Poster)
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2019 A* conf
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
IJCAI
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019 J jnl
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective.
CoRR
Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
2019 J jnl
Toward A Neuro-inspired Creative Decoder.
CoRR
Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn
2019 J jnl
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations.
CoRR
Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2019 B conf
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks.
ICIP
Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2019 J jnl
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks.
CoRR
Chao-Han Huck Yang, Yi-Chieh Liu, Pin-Yu Chen, Xiaoli Ma, Yi-Chang James Tsai
2019 J jnl
hpGAT: High-Order Proximity Informed Graph Attention Network.
IEEE Access
Zhining Liu, Weiyi Liu, Pin-Yu Chen, Chenyi Zhuang, Chengyun Song
2019 — conf
signSGD via Zeroth-Order Oracle.
ICLR (Poster)
Sijia Liu, Pin-Yu Chen, Xiangyi Chen, Mingyi Hong
2018 J jnl
Accelerated Distributed Dual Averaging Over Evolving Networks of Growing Connectivity.
IEEE Trans. Signal Process.
Sijia Liu, Pin-Yu Chen, Alfred O. Hero III
2018 J jnl
Analysis of Data Dissemination and Control in Social Internet of Vehicles.
IEEE Internet Things J.
Pin-Yu Chen, Shin-Ming Cheng, Meng-Hsuan Sung
2018 J jnl
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models.
IEEE Internet Things J.
Pin-Yu Chen, Shin-Ming Cheng, Hui-Yu Hsu
2018 — conf
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning.
ACL (1)
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2018 — conf
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples.
ICLR (Workshop)
Yash Sharma, Pin-Yu Chen
2018 J jnl
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks.
CoRR
Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng
2018 J jnl
Bypassing Feature Squeezing by Increasing Adversary Strength.
CoRR
Yash Sharma, Pin-Yu Chen
2018 J jnl
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks.
CoRR
Akhilan Boopathy, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel
2018 J jnl
Characterizing Audio Adversarial Examples Using Temporal Dependency.
CoRR
Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song
2018 J jnl
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning.
CoRR
Rise Ooi, Chao-Han Huck Yang, Pin-Yu Chen, Víctor M. Eguíluz, Narsis Aftab Kiani, Hector Zenil, David Gomez-Cabrero, Jesper Tegnér
2018 J jnl
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock
2018 A* conf
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.
AAAI
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2018 A* conf
Efficient Neural Network Robustness Certification with General Activation Functions.
NeurIPS
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
2018 J jnl
Efficient Neural Network Robustness Certification with General Activation Functions.
CoRR
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen, Cho-Jui Hsieh, Luca Daniel
2018 — conf
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.
ICLR (Poster)
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018 J jnl
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.
CoRR
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Dong Su, Yupeng Gao, Cho-Jui Hsieh, Luca Daniel
2018 A* conf
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.
NeurIPS
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das
2018 J jnl
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives.
CoRR
Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das
2018 J jnl
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications.
CoRR
Pin-Yu Chen, Lingfei Wu, Sijia Liu, Indika Rajapakse
2018 Misc conf
First-Order Bifurcation Detection for Dynamic Complex Networks.
ICASSP
Sijia Liu, Pin-Yu Chen, Indika Rajapakse, Alfred O. Hero III
2018 J jnl
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications.
CoRR
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan
2018 J jnl
Incremental eigenpair computation for graph Laplacian matrices: theory and applications.
Soc. Netw. Anal. Min.
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan
2018 J jnl
Is Ordered Weighted ℓ
CoRR
Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
2018 — conf
Is Ordered Weighted ℓ1 Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR.
GlobalSIP
Pin-Yu Chen, Bhanukiran Vinzamuri, Sijia Liu
2018 — conf
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.
ECCV (12)
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018 J jnl
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models.
CoRR
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, Yupeng Gao
2018 J jnl
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.
CoRR
Vachik S. Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan
2018 J jnl
On Extensions of CLEVER: A Neural Network Robustness Evaluation Algorithm.
CoRR
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel
2018 — conf
On Extensions of Clever: A Neural Network Robustness Evaluation Algorithm.
GlobalSIP
Tsui-Wei Weng, Huan Zhang, Pin-Yu Chen, Aurélie C. Lozano, Cho-Jui Hsieh, Luca Daniel
2018 J jnl
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.
CoRR
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
2018 — conf
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples.
ICLR (Workshop)
Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
2018 J jnl
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples.
CoRR
Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
2018 — conf
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples.
DSN Workshops
Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu
2018 J jnl
On the Limitation of MagNet Defense against L
CoRR
Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu
2018 Misc conf
On the Supermodularity of Active Graph-Based Semi-Supervised Learning with Stieltjes Matrix Regularization.
ICASSP
Pin-Yu Chen, Dennis Wei
2018 J jnl
On the Supermodularity of Active Graph-based Semi-supervised Learning with Stieltjes Matrix Regularization.
CoRR
Pin-Yu Chen, Dennis Wei
2018 — conf
On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces.
GlobalSIP
Chia-Yi Hsu, Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu
2018 J jnl
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach.
CoRR
Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
2018 J jnl
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering.
IEEE Trans. Signal Process.
Pin-Yu Chen, Alfred O. Hero III
2018 J jnl
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.
CoRR
Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh
2018 A* conf
Scalable Spectral Clustering Using Random Binning Features.
KDD
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018 J jnl
Scalable Spectral Clustering Using Random Binning Features.
CoRR
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018 J jnl
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
CoRR
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh
2018 J jnl
Structured Adversarial Attack: Towards General Implementation and Better Interpretability.
CoRR
Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
2018 A* conf
Word Mover's Embedding: From Word2Vec to Document Embedding.
EMNLP
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2018 J jnl
Word Mover's Embedding: From Word2Vec to Document Embedding.
CoRR
Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2018 Misc conf
Zeroth-Order Diffusion Adaptation Over Networks.
ICASSP
Jie Chen, Sijia Liu, Pin-Yu Chen
2018 A conf
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
AISTATS
Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III
2018 — conf
Zeroth-Order Stochastic Projected Gradient Descent for Nonconvex Optimization.
GlobalSIP
Sijia Liu, Xingguo Li, Pin-Yu Chen, Jarvis D. Haupt, Lisa Amini
2018 A* conf
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.
NeurIPS
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini
2018 J jnl
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization.
CoRR
Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini
2017 Misc conf
AMOS: An automated model order selection algorithm for spectral graph clustering.
ICASSP
Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero III
2017 J jnl
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models.
CoRR
Pin-Yu Chen, Shin-Ming Cheng, Hui-Yu Hsu
2017 J jnl
Attacking the Madry Defense Model with L
CoRR
Yash Sharma, Pin-Yu Chen
2017 J jnl
Bias-Variance Tradeoff of Graph Laplacian Regularizer.
CoRR
Pin-Yu Chen, Sijia Liu
2017 J jnl
Bias-Variance Tradeoff of Graph Laplacian Regularizer.
IEEE Signal Process. Lett.
Pin-Yu Chen, Sijia Liu
2017 J jnl
Can GAN Learn Topological Features of a Graph?
CoRR
Weiyi Liu, Pin-Yu Chen, Hal James Cooper, Min Hwan Oh, Sailung Yeung, Toyotaro Suzumura
2017 Misc conf
Distributed optimization for evolving networks of growing connectivity.
ICASSP
Sijia Liu, Pin-Yu Chen, Alfred O. Hero III
2017 J jnl
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.
CoRR
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2017 B conf
FEAST: An Automated Feature Selection Framework for Compilation Tasks.
AINA
Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng
2017 J jnl
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2017 J jnl
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms.
IEEE Trans. Signal Inf. Process. over Networks
Pin-Yu Chen, Alfred O. Hero III
2017 — conf
Principled Multilayer Network Embedding.
ICDM Workshops
Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen
2017 J jnl
Principled Multilayer Network Embedding.
CoRR
Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, Lingli Chen
2017 A* conf
Revisiting Spectral Graph Clustering with Generative Community Models.
ICDM
Pin-Yu Chen, Lingfei Wu
2017 J jnl
Revisiting Spectral Graph Clustering with Generative Community Models.
CoRR
Pin-Yu Chen, Lingfei Wu
2017 J jnl
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning.
CoRR
Hongge Chen, Huan Zhang, Pin-Yu Chen, Jinfeng Yi, Cho-Jui Hsieh
2017 J jnl
Traffic-Aware Patching for Cyber Security in Mobile IoT.
IEEE Commun. Mag.
Shin-Ming Cheng, Pin-Yu Chen, Ching-Chao Lin, Hsu-Chun Hsiao
2017 J jnl
Traffic-aware Patching for Cyber Security in Mobile IoT.
CoRR
Shin-Ming Cheng, Pin-Yu Chen, Ching-Chao Lin, Hsu-Chun Hsiao
2017 — conf
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models.
AISec@CCS
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2017 J jnl
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models.
CoRR
Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh
2017 J jnl
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications.
CoRR
Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero III
2016 J jnl
AMOS: An Automated Model Order Selection Algorithm for Spectral Graph Clustering.
CoRR
Pin-Yu Chen, Thibaut Gensollen, Alfred O. Hero III
2016 J jnl
Buffer Occupancy and Delivery Reliability Tradeoffs for Epidemic Routing.
CoRR
Pin-Yu Chen, Meng-Hsuan Sung, Shin-Ming Cheng
2016 J jnl
Decapitation via Digital Epidemics: A Bio-Inspired Transmissive Attack.
CoRR
Pin-Yu Chen, Ching-Chao Lin, Shin-Ming Cheng, Hsu-Chun Hsiao, Chun-Ying Huang
2016 J jnl
Decapitation via digital epidemics: a bio-inspired transmissive attack.
IEEE Commun. Mag.
Pin-Yu Chen, Ching-Chao Lin, Shin-Ming Cheng, Hsu-Chun Hsiao, Chun-Ying Huang
2016 — conf
Ecology-Based DoS Attack in Cognitive Radio Networks.
IEEE Symposium on Security and Privacy Workshops
Shin-Ming Cheng, Pin-Yu Chen
2016 J jnl
Ecology-Based DoS Attack in Cognitive Radio Networks.
CoRR
Shin-Ming Cheng, Pin-Yu Chen
2016 J jnl
FEAST: An Automated Feature Selection Framework for Compilation Tasks.
CoRR
Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng
2016 J jnl
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach.
CoRR
Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III
2016 Misc conf
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection.
ICASSP
Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
2016 J jnl
Multilayer Spectral Graph Clustering via Convex Layer Aggregation.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2016 — conf
Multilayer spectral graph clustering via convex layer aggregation.
GlobalSIP
Pin-Yu Chen, Alfred O. Hero III
2016 J jnl
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2015 — conf
Action Recommendation for Cyber Resilience.
SafeConfig@CCS
Sutanay Choudhury, Luke Rodriguez, Darren S. Curtis, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
2015 A* conf
DEMO: Action Recommendation for Cyber Resilience.
CCS
Luke Rodriguez, Darren S. Curtis, Sutanay Choudhury, Kiri Oler, Peter Nordquist, Pin-Yu Chen, Indrajit Ray
2015 J jnl
Deep Community Detection.
IEEE Trans. Signal Process.
Pin-Yu Chen, Alfred O. Hero III
2015 J jnl
Incremental Method for Spectral Clustering of Increasing Orders.
CoRR
Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, Alfred O. Hero III
2015 J jnl
Multi-centrality Graph Spectral Decompositions and their Application to Cyber Intrusion Detection.
CoRR
Pin-Yu Chen, Sutanay Choudhury, Alfred O. Hero III
2015 — conf
Multivariate and Categorical Analysis of Gaming Statistics.
NBiS
Pin-Yu Chen, Zhengling Qi, Yanxin Pan, Shin-Ming Cheng
2015 J jnl
Phase Transitions in Spectral Community Detection of Large Noisy Networks.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2015 J jnl
Phase Transitions in Spectral Community Detection.
IEEE Trans. Signal Process.
Pin-Yu Chen, Alfred O. Hero III
2015 Misc conf
Phase transitions in spectral community detection of large noisy networks.
ICASSP
Pin-Yu Chen, Alfred O. Hero III
2015 J jnl
Sequential Defense Against Random and Intentional Attacks in Complex Networks.
CoRR
Pin-Yu Chen, Shin-Ming Cheng
2015 — conf
Supervised Collective Classification for Crowdsourcing.
GLOBECOM Workshops
Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng
2015 J jnl
Supervised Collective Classification for Crowdsourcing.
CoRR
Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng
2015 J jnl
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective.
CoRR
Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu
2015 J jnl
When crowdsourcing meets mobile sensing: a social network perspective.
IEEE Commun. Mag.
Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu
2014 J jnl
Assessing and safeguarding network resilience to nodal attacks.
IEEE Commun. Mag.
Pin-Yu Chen, Alfred O. Hero III
2014 J jnl
Deep Community Detection.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2014 J jnl
Information Fusion to Defend Intentional Attack in Internet of Things.
IEEE Internet Things J.
Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen
2014 Misc conf
Local Fiedler vector centrality for detection of deep and overlapping communities in networks.
ICASSP
Pin-Yu Chen, Alfred O. Hero III
2014 — conf
Modeling Dynamics of Malware with Incubation Period from the View of Individual.
VTC Spring
Pin-Yu Chen, Han-Feng Lin, Ko-Hsuan Hsu, Shin-Ming Cheng
2014 J jnl
Node Removal Vulnerability of the Largest Component of a Network.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2014 J jnl
Optimal Control of Epidemic Information Dissemination Over Networks.
IEEE Trans. Cybern.
Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen
2014 J jnl
Phase Transitions in Spectral Community Detection.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2014 J jnl
Universal Phase Transition in Community Detectability under a Stochastic Block Model.
CoRR
Pin-Yu Chen, Alfred O. Hero III
2013 — conf
Node removal vulnerability of the largest component of a network.
GlobalSIP
Pin-Yu Chen, Alfred O. Hero III
2012 J jnl
Rate-Delay Enhanced Multipath Transmission Scheme via Network Coding in Multihop Networks.
IEEE Commun. Lett.
Pin-Yu Chen, Weng-Chon Ao, Kwang-Cheng Chen
2012 J jnl
Rate-Reliability-Delay Tradeoff of Multipath Transmission Using Network Coding.
IEEE Trans. Veh. Technol.
Weng-Chon Ao, Pin-Yu Chen, Kwang-Cheng Chen
2012 J jnl
Smart attacks in smart grid communication networks.
IEEE Commun. Mag.
Pin-Yu Chen, Shin-Ming Cheng, Kwang-Cheng Chen
2011 J jnl
Ecology of Cognitive Radio Ad Hoc Networks.
IEEE Commun. Lett.
Shin-Ming Cheng, Pin-Yu Chen, Kwang-Cheng Chen
2011 B conf
Intentional Attack and Fusion-Based Defense Strategy in Complex Networks.
GLOBECOM
Pin-Yu Chen, Kwang-Cheng Chen
2011 — conf
Network synchronization among femtocells.
GLOBECOM Workshops
Shao-Yu Lien, Hou-Hsun Lee, Sung-Yin Shih, Pin-Yu Chen, Kwang-Cheng Chen
2011 J jnl
On Modeling Malware Propagation in Generalized Social Networks.
IEEE Commun. Lett.
Shin-Ming Cheng, Weng-Chon Ao, Pin-Yu Chen, Kwang-Cheng Chen
2011 B conf
Optimal Control of Epidemic Information Dissemination in Mobile Ad Hoc Networks.
GLOBECOM
Pin-Yu Chen, Kwang-Cheng Chen
2011 — conf
Reciprocal spectrum sharing game and mechanism in cellular systems with Cognitive Radio users.
GLOBECOM Workshops
Pin-Yu Chen, Weng-Chon Ao, Shih-Chun Lin, Kwang-Cheng Chen
2011 C conf
Topology control in multi-channel cognitive radio networks with non-uniform node arrangements.
ISCC
Pin-Yu Chen, Vasileios Karyotis, Symeon Papavassiliou, Kwang-Cheng Chen
2010 B conf
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology.
GLOBECOM
Pin-Yu Chen, Kwang-Cheng Chen