Huan Zhang

179 papers A* 49A 1B 2Misc 2Journal 99Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL.
CoRR
Rui Yang, Qianhui Wu, Zhaoyang Wang, Hanyang Chen, Ke Yang, Hao Cheng, Huaxiu Yao, Baoling Peng, Huan Zhang, Jianfeng Gao, Tong Zhang
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2026 J jnl
TorchLean: Formalizing Neural Networks in Lean.
CoRR
Robert Joseph George, Jennifer Cruden, Xiangru Zhong, Huan Zhang, Anima Anandkumar
2026 J jnl
Towards Agentic Intelligence for Materials Science.
CoRR
Huan Zhang, Yizhan Li, Wenhao Huang, Ziyu Hou, Yu Song, Xuye Liu, Farshid Effaty, Jinya Jiang, Sifan Wu, Qianggang Ding, Izumi Takahara, Leonard R. MacGillivray, Teruyasu Mizoguchi, Tianshu Yu, Lizi Liao, Yuyu Luo, Yu Rong, Jia Li, Ying Diao, Heng Ji, Bang Liu
2025 J jnl
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.
CoRR
Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu
2025 A* conf
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time.
EMNLP
Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang
2025 J jnl
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time.
CoRR
Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang
2025 A* conf
Causal Composition Diffusion Model for Closed-loop Traffic Generation.
CVPR
Haohong Lin, Xin Huang, Tung Phan, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen
2025 A* conf
CertPHash: Towards Certified Perceptual Hashing via Robust Training.
USENIX Security Symposium
Yuchen Yang, Qichang Liu, Christopher Brix, Huan Zhang, Yinzhi Cao
2025 J jnl
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification.
CoRR
Duo Zhou, Jorge Chavez, Hesun Chen, Grani A. Hanasusanto, Huan Zhang
2025 J jnl
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty.
CoRR
Mingxuan Cui, Duo Zhou, Yuxuan Han, Grani A. Hanasusanto, Qiong Wang, Huan Zhang, Zhengyuan Zhou
2025 J jnl
DecepChain: Inducing Deceptive Reasoning in Large Language Models.
CoRR
Wei Shen, Han Wang, Haoyu Li, Huan Zhang
2025 J jnl
ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning.
CoRR
Hanyang Chen, Mark Zhao, Rui Yang, Qinwei Ma, Ke Yang, Jiarui Yao, Kangrui Wang, Hao Bai, Zhenhailong Wang, Rui Pan, Mengchao Zhang, Jose A. Barreiros, Aykut Özgün Önol, ChengXiang Zhai, Heng Ji, Manling Li, Huan Zhang, Tong Zhang
2025 A* conf
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.
ICML
Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang
2025 J jnl
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents.
CoRR
Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang
2025 — conf
From Aesthetics to Human Preferences: Comparative Perspectives of Evaluating Text-to-Music Systems.
MLSP
Huan Zhang, Jinhua Liang, Huy Phan, Wenwu Wang, Emmanouil Benetos
2025 J jnl
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models.
CoRR
Evelyn Ma, Duo Zhou, Peizhi Niu, Huiting Zhou, Huan Zhang, Olgica Milenkovic, S. Rasoul Etesami
2025 J jnl
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents.
CoRR
Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao
2025 J jnl
Geometric-Disentangelment Unlearning.
CoRR
Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang
2025 J jnl
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay.
CoRR
Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
2025 Misc conf
LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment.
ICASSP
Huan Zhang, Vincent K. M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya
2025 J jnl
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs.
CoRR
Kairun Zhang, Haoyu Li, Yanjun Zhao, Yifan Sun, Huan Zhang
2025 — conf
Neural Network Verification with Branch-and-Bound for General Nonlinearities.
TACAS (1)
Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
2025 J jnl
On The Fragility of Benchmark Contamination Detection in Reasoning Models.
CoRR
Han Wang, Haoyu Li, Brian Ko, Huan Zhang
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 — conf
PREFACE - A Reinforcement Learning Framework for Code Verification via LLM Prompt Repair.
ACM Great Lakes Symposium on VLSI
Manvi Jha, Lily Jiaxin Wan, Huan Zhang, Deming Chen
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025 J jnl
RenderBox: Expressive Performance Rendering with Text Control.
CoRR
Huan Zhang, Akira Maezawa, Simon Dixon
2025 J jnl
Rethinking Diverse Human Preference Learning through Principal Component Analysis.
CoRR
Feng Luo, Rui Yang, Hao Sun, Chunyuan Deng, Jiarui Yao, Jingyan Shen, Huan Zhang, Hanjie Chen
2025 J jnl
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes.
CoRR
Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang
2025 J jnl
SoundnessBench: A Soundness Benchmark for Neural Network Verifiers.
Trans. Mach. Learn. Res.
Xingjian Zhou, Keyi Shen, Andy Xu, Hongji Xu, Cho-Jui Hsieh, Huan Zhang, Zhouxing Shi
2025 A* conf
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks.
CVPR
Han Wang, Gang Wang, Huan Zhang
2025 A* conf
The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination.
ICML
Yifan Sun, Han Wang, Dongbai Li, Gang Wang, Huan Zhang
2025 J jnl
The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination.
CoRR
Yifan Sun, Han Wang, Dongbai Li, Gang Wang, Huan Zhang
2025 J jnl
Token-Level Uncertainty Estimation for Large Language Model Reasoning.
CoRR
Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris N. Metaxas, Hao Wang
2025 J jnl
Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning.
CoRR
Qiusi Zhan, Hyeonjeong Ha, Rui Yang, Sirui Xu, Hanyang Chen, Liang-Yan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang
2025 J jnl
When Reasoning Meets Its Laws.
CoRR
Junyu Zhang, Yifan Sun, Tianang Leng, Jingyan Shen, Liu Ziyin, Paul Pu Liang, Huan Zhang
2024 J jnl
Causal Composition Diffusion Model for Closed-loop Traffic Generation.
CoRR
Haohong Lin, Xin Huang, Tung Phan-Minh, David S. Hayden, Huan Zhang, Ding Zhao, Siddhartha S. Srinivasa, Eric M. Wolff, Hongge Chen
2024 J jnl
Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control.
CoRR
Zhouxing Shi, Cho-Jui Hsieh, Huan Zhang
2024 J jnl
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data.
CoRR
Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han
2024 J jnl
Foundation Models for Music: A Survey.
CoRR
Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang
2024 — conf
From Audio Encoders to Piano Judges: Benchmarking Performance Understanding for Solo Piano.
ISMIR
Huan Zhang, Jinhua Liang, Simon Dixon
2024 J jnl
How does the teacher rate? Observations from the NeuroPiano dataset.
CoRR
Huan Zhang, Vincent K. M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya
2024 J jnl
LLaQo: Towards a Query-Based Coach in Expressive Music Performance Assessment.
CoRR
Huan Zhang, Vincent K. M. Cheung, Hayato Nishioka, Simon Dixon, Shinichi Furuya
2024 J jnl
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation for Efficient Synthesis and Verification.
CoRR
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang
2024 A* conf
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation.
ICML
Lujie Yang, Hongkai Dai, Zhouxing Shi, Cho-Jui Hsieh, Russ Tedrake, Huan Zhang
2024 J jnl
Neural Network Verification with Branch-and-Bound for General Nonlinearities.
CoRR
Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
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
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs.
NeurIPS
Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang
2024 J jnl
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs.
CoRR
Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang
2024 J jnl
SVIP: Towards Verifiable Inference of Open-source Large Language Models.
CoRR
Yifan Sun, Yuhang Li, Yue Zhang, Yuchen Jin, Huan Zhang
2024 A* conf
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes.
NeurIPS
Duo Zhou, Christopher Brix, Grani A. Hanasusanto, Huan Zhang
2024 J jnl
Steering Away from Harm: An Adaptive Approach to Defending Vision Language Model Against Jailbreaks.
CoRR
Han Wang, Gang Wang, Huan Zhang
2024 J jnl
Temporal shuffling for defending deep action recognition models against adversarial attacks.
Neural Networks
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
2024 J jnl
Testing Neural Network Verifiers: A Soundness Benchmark with Hidden Counterexamples.
CoRR
Xingjian Zhou, Hongji Xu, Andy Xu, Zhouxing Shi, Cho-Jui Hsieh, Huan Zhang
2024 J jnl
Training-Free Bayesianization for Low-Rank Adapters of Large Language Models.
CoRR
Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang
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
2023 A* conf
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories.
ICLR
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
2023 J jnl
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories.
CoRR
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
2023 A* conf
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.
USENIX Security Symposium
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
2023 J jnl
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.
CoRR
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
2023 Misc conf
Disentangling the Horowitz Factor: Learning Content and Style From Expressive Piano Performance.
ICASSP
Huan Zhang, Simon Dixon
2023 A* conf
On the Robustness of Safe Reinforcement Learning under Observational Perturbations.
ICLR
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
2023 A* conf
Provably Bounding Neural Network Preimages.
NeurIPS
Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
2023 J jnl
Provably Bounding Neural Network Preimages.
CoRR
Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
2023 — conf
Queer In AI: A Case Study in Community-Led Participatory AI.
FAccT
Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
2023 J jnl
Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR
Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
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
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation.
ISMIR
Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino-Chacón
2023 J jnl
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation.
CoRR
Huan Zhang, Emmanouil Karystinaios, Simon Dixon, Gerhard Widmer, Carlos Eduardo Cancino-Chacón
2023 A* conf
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.
ICML
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao
2022 A* conf
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks.
ICML
Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2022 — conf
ATEPP: A Dataset of Automatically Transcribed Expressive Piano Performance.
ISMIR
Huan Zhang, Jingjing Tang, Syed Rm Rafee, Simon Dixon, George Fazekas, Geraint A. Wiggins
2022 A* conf
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
NeurIPS
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
2022 J jnl
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
CoRR
Li-Cheng Lan, Huan Zhang, Ti-Rong Wu, Meng-Yu Tsai, I-Chen Wu, Cho-Jui Hsieh
2022 A* conf
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
ICLR
Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022 J jnl
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
CoRR
Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
2022 B conf
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks.
ICPR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2022 A* conf
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation.
NeurIPS
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
2022 J jnl
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation.
CoRR
Zhouxing Shi, Yihan Wang, Huan Zhang, J. Zico Kolter, Cho-Jui Hsieh
2022 J jnl
FI-ODE: Certified and Robust Forward Invariance in Neural ODEs.
CoRR
Yujia Huang, Ivan Dario Jimenez Rodriguez, Huan Zhang, Yuanyuan Shi, Yisong Yue
2022 A* conf
General Cutting Planes for Bound-Propagation-Based Neural Network Verification.
NeurIPS
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2022 J jnl
General Cutting Planes for Bound-Propagation-Based Neural Network Verification.
CoRR
Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
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
On the Robustness of Safe Reinforcement Learning under Observational Perturbations.
CoRR
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
2022 — conf
ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers.
ECCV (25)
Junbo Li, Huan Zhang, Cihang Xie
2021 J jnl
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification.
CoRR
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2021 A* conf
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification.
NeurIPS
Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter
2021 J jnl
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks.
CoRR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2021 — conf
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.
NAACL-HLT
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 J jnl
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.
CoRR
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 J jnl
Fast Certified Robust Training via Better Initialization and Shorter Warmup.
CoRR
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2021 A* conf
Fast Certified Robust Training with Short Warmup.
NeurIPS
Zhouxing Shi, Yihan Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2021 A* conf
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers.
ICLR
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
2021 J jnl
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training.
CoRR
Alexander Pan, Yongkyun Lee, Huan Zhang, Yize Chen, Yuanyuan Shi
2021 A* conf
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary.
ICLR
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2021 J jnl
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary.
CoRR
Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2021 A* conf
Robustness between the worst and average case.
NeurIPS
Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter
2021 J jnl
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks.
CoRR
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
2021 A* conf
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds.
NeurIPS
Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar
2021 J jnl
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds.
CoRR
Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar
2020 — conf
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization.
ACCV (4)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2020 A* conf
An Efficient Adversarial Attack for Tree Ensembles.
NeurIPS
Chong Zhang, Huan Zhang, Cho-Jui Hsieh
2020 J jnl
An Efficient Adversarial Attack for Tree Ensembles.
CoRR
Chong Zhang, Huan Zhang, Cho-Jui Hsieh
2020 J jnl
Automatic Analysis and Influence of Hierarchical Structure on Melody, Rhythm and Harmony in Popular Music.
CoRR
Shuqi Dai, Huan Zhang, Roger B. Dannenberg
2020 — conf
Automatic Detection of Hierarchical Structure and Influence of Structure on Melody, Harmony and Rhythm in Popular Music.
AIMC
Shuqi Dai, Huan Zhang, Roger B. Dannenberg
2020 A* conf
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.
NeurIPS
Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020 J jnl
Automatic Perturbation Analysis on General Computational Graphs.
CoRR
Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020 J jnl
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers.
CoRR
Kaidi Xu, Huan Zhang, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
2020 A* conf
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius.
ICLR
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020 J jnl
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius.
CoRR
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
2020 — —
Machine Learning with Provable Robustness Guarantees.
Huan Zhang
2020 A* conf
On Lp-norm Robustness of Ensemble Decision Stumps and Trees.
ICML
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2020 J jnl
On 𝓁
CoRR
Yihan Wang, Huan Zhang, Hongge Chen, Duane S. Boning, Cho-Jui Hsieh
2020 J jnl
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations.
CoRR
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2020 A* conf
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations.
NeurIPS
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane S. Boning, Cho-Jui Hsieh
2020 A* conf
Robustness Verification for Transformers.
ICLR
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
2020 J jnl
Robustness Verification for Transformers.
CoRR
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
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 J jnl
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data.
CoRR
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2020 J jnl
Spanning attack: reinforce black-box attacks with unlabeled data.
Mach. Learn.
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang
2020 J jnl
The Limit of the Batch Size.
CoRR
Yang You, Yuhui Wang, Huan Zhang, Zhao Zhang, James Demmel, Cho-Jui Hsieh
2020 A* conf
Towards Stable and Efficient Training of Verifiably Robust Neural Networks.
ICLR
Huan Zhang, Hongge Chen, Chaowei Xiao, Sven Gowal, Robert Stanforth, Bo Li, Duane S. Boning, Cho-Jui Hsieh
2019 A* conf
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks.
NeurIPS
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019 J jnl
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks.
CoRR
Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019 A* conf
Adversarial Robustness vs. Model Compression, or Both?
ICCV
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
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 — conf
Defending Against Adversarial Attacks Using Random Forest.
CVPR Workshops
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019 J jnl
Defending Against Adversarial Attacks Using Random Forests.
CoRR
Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong
2019 J jnl
Enhancing Certifiable Robustness via a Deep Model Ensemble.
CoRR
Huan Zhang, Minhao Cheng, Cho-Jui Hsieh
2019 A* conf
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks.
ICCV
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2019 J jnl
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks.
CoRR
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
2019 A conf
GenAttack: practical black-box attacks with gradient-free optimization.
GECCO
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava
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
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications.
AAAI
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
2019 A* conf
Robust Decision Trees Against Adversarial Examples.
ICML
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
2019 J jnl
Robust Decision Trees Against Adversarial Examples.
CoRR
Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh
2019 A* conf
Robustness Verification of Tree-based Models.
NeurIPS
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019 J jnl
Robustness Verification of Tree-based Models.
CoRR
Hongge Chen, Huan Zhang, Si Si, Yang Li, Duane S. Boning, Cho-Jui Hsieh
2019 J jnl
Second Rethinking of Network Pruning in the Adversarial Setting.
CoRR
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
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 — conf
The Limitations of Adversarial Training and the Blind-Spot Attack.
ICLR (Poster)
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
2019 J jnl
The Limitations of Adversarial Training and the Blind-Spot Attack.
CoRR
Huan Zhang, Hongge Chen, Zhao Song, Duane S. Boning, Inderjit S. Dhillon, Cho-Jui Hsieh
2019 J jnl
Towards Stable and Efficient Training of Verifiably Robust Neural Networks.
CoRR
Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Duane S. Boning, Cho-Jui Hsieh
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 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 B conf
Cascade Deep Networks for Sparse Linear Inverse Problems.
ICPR
Huan Zhang, Hong Shi, Wenwu Wang
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 — 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
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
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 — conf
Realtime Query Completion via Deep Language Models.
eCOM@SIGIR
Po-Wei Wang, Huan Zhang, Vijai Mohan, Inderjit S. Dhillon, J. Zico Kolter
2018 J jnl
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications.
CoRR
Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
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
Towards Fast Computation of Certified Robustness for ReLU Networks.
ICML
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Luca Daniel, Duane S. Boning, Inderjit S. Dhillon
2018 J jnl
Towards Fast Computation of Certified Robustness for ReLU Networks.
CoRR
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane S. Boning, Inderjit S. Dhillon, Luca Daniel
2018 — conf
Towards Robust Neural Networks via Random Self-ensemble.
ECCV (7)
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
2017 — conf
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
NIPS
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017 J jnl
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent.
CoRR
Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
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 J jnl
GPU-acceleration for Large-scale Tree Boosting.
CoRR
Huan Zhang, Si Si, Cho-Jui Hsieh
2017 A* conf
Gradient Boosted Decision Trees for High Dimensional Sparse Output.
ICML
Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh
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
Towards Robust Neural Networks via Random Self-ensemble.
CoRR
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
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
2016 — conf
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order.
NIPS
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh, Yijun Huang, Ji Liu
2016 A* conf
Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent.
ICDM
Huan Zhang, Cho-Jui Hsieh
2016 A* conf
HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent.
ICDM
Huan Zhang, Cho-Jui Hsieh, Venkatesh Akella
2016 — conf
Sublinear Time Orthogonal Tensor Decomposition.
NIPS
Zhao Song, David P. Woodruff, Huan Zhang