Bo Li

557 papers A* 159A 19B 5C 1Misc 3Journal 320Unranked 47
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5.
CoRR
Xingjun Ma, Yixu Wang, Hengyuan Xu, Yutao Wu, Yifan Ding, Yunhan Zhao, Zilong Wang, Jiabin Hua, Ming Wen, Jianan Liu, Ranjie Duan, Yifeng Gao, Yingshui Tan, Yunhao Chen, Hui Xue, Xin Wang, Wei Cheng, Jingjing Chen, Zuxuan Wu, Bo Li, Yu-Gang Jiang
2026 J jnl
Anchor Forcing: Anchor Memory and Tri-Region RoPE for Interactive Streaming Video Diffusion.
CoRR
Yang Yang, Tianyi Zhang, Wei Huang, Jinwei Chen, Boxi Wu, Xiaofei He, Deng Cai, Bo Li, Peng-Tao Jiang
2026 J jnl
BrowseComp-V
CoRR
Huanyao Zhang, Jiepeng Zhou, Bo Li, Bowen Zhou, Yanzhe Shan, Haishan Lu, Zhiyong Cao, Jiaoyang Chen, Yuqian Han, Zinan Sheng, Zhengwei Tao, Hao Liang, Jialong Wu, Yang Shi, Yuanpeng He, Jiaye Lin, Qintong Zhang, Guochen Yan, Runhao Zhao, Zhengpin Li, Xiaohan Yu, Lang Mei, Chong Chen, Wentao Zhang, Bin Cui
2026 J jnl
Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.
CoRR
Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li
2026 J jnl
Exploring Information Seeking Agent Consolidation.
CoRR
Guochen Yan, Jialong Wu, Zhengwei Tao, Bo Li, Qintong Zhang, Jiahao Xu, Haitao Mi, Yuejian Fang, Qingni Shen, Wentao Zhang, Zhonghai Wu
2026 J jnl
Internal Safety Collapse in Frontier Large Language Models.
CoRR
Yutao Wu, Xiao Liu, Yifeng Gao, Xiang Zheng, Hanxun Huang, Yige Li, Cong Wang, Bo Li, Xingjun Ma, Yu-Gang Jiang
2026 J jnl
Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs.
CoRR
Xiang Zheng, Yutao Wu, Hanxun Huang, Yige Li, Xingjun Ma, Bo Li, Yu-Gang Jiang, Cong Wang
2026 J jnl
The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey.
CoRR
Juhee Kim, Xiaoyuan Liu, Zhun Wang, Shi Qiu, Bo Li, Wenbo Guo, Dawn Song
2026 J jnl
Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents.
CoRR
Xu Li, Simon Yu, Minzhou Pan, Yiyou Sun, Bo Li, Dawn Song, Xue Lin, Weiyan Shi
2025 J jnl
A Definition of AGI.
CoRR
Dan Hendrycks, Dawn Song, Christian Szegedy, Honglak Lee, Yarin Gal, Erik Brynjolfsson, Sharon Li, Andy Zou, Lionel Levine, Bo Han, Jie Fu, Ziwei Liu, Jinwoo Shin, Kimin Lee, Mantas Mazeika, Long Phan, George Ingebretsen, Adam Khoja, Cihang Xie, Olawale Salaudeen, Matthias Hein, Kevin Zhao, Alexander Pan, David Duvenaud, Bo Li, Steve Omohundro, Gabriel Alfour, Max Tegmark, Kevin McGrew, Gary Marcus, Jaan Tallinn, Eric Schmidt, Yoshua Bengio
2025 A* conf
A Generative Pre-Trained Language Model for Channel Prediction in Wireless Communications Systems.
EMNLP
Bo Li, Huanming Zhang, Yuhua Jiang, Yucong Wang, Tengyu Zhang, Shaoqiang Yan, Hongyao Li, Yihong Liu, Feifei Gao
2025 A* conf
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories.
ICLR
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
2025 J jnl
ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks.
CoRR
Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li
2025 A* conf
AdvAgent: Controllable Blackbox Red-teaming on Web Agents.
ICML
Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li
2025 A* conf
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models.
ICLR
Mintong Kang, Chejian Xu, Bo Li
2025 J jnl
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment.
CoRR
Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu
2025 J jnl
Any-to-Bokeh: One-Step Video Bokeh via Multi-Plane Image Guided Diffusion.
CoRR
Yang Yang, Siming Zheng, Jinwei Chen, Boxi Wu, Xiaofei He, Deng Cai, Bo Li, Peng-Tao Jiang
2025 A* conf
Anyprefer: An Agentic Framework for Preference Data Synthesis.
ICLR
Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
2025 J jnl
Anyprefer: An Agentic Framework for Preference Data Synthesis.
CoRR
Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
2025 J jnl
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering.
CoRR
Zhuowen Yuan, Tao Liu, Yang Yang, Yang Wang, Feng Qi, Kaushik Rangadurai, Bo Li, Shuang Yang
2025 A* conf
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.
ICLR
Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao
2025 J jnl
AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration.
CoRR
Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li
2025 J jnl
Automated detection system of metro tunnel lining crack using dynamic snake convolution.
Comput. Aided Civ. Infrastructure Eng.
Zhutian Pan, Xuepeng Zhang, Bo Li, Yu-Gang Jiang, Ningbo Li, Chengwei Mei, Hang Su, Yue Cai
2025 A* conf
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.
ICLR
Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2025 J jnl
BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI.
CoRR
Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, Bo Li
2025 A* conf
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization.
USENIX Security Symposium
Derui Wang, Kristen Moore, Diksha Goel, Minjune Kim, Gang Li, Yang Li, Robin Doss, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 J jnl
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization.
CoRR
Derui Wang, Kristen Moore, Diksha Goel, Minjune Kim, Gang Li, Yang Li, Robin Doss, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 J jnl
CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents.
CoRR
Zhen Xiang, Aliyah R. Hsu, Austin Zane, Aaron Kornblith, Margaret J. Lin-Martore, Jasmanpreet C. Kaur, Vasuda M. Dokiparthi, Bo Li, Bin Yu
2025 A* conf
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks.
AAAI
Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
2025 A* conf
Can Watermarks be Used to Detect LLM IP Infringement For Free?
ICLR
Zhengyue Zhao, Xiaogeng Liu, Somesh Jha, Patrick McDaniel, Bo Li, Chaowei Xiao
2025 J jnl
Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs.
CoRR
Ganghua Wang, Zhaorun Chen, Bo Li, Haifeng Xu
2025 J jnl
ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization.
CoRR
Xuefeng Liu, Songhao Jiang, Bo Li, Rick Stevens
2025 A* conf
DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles.
AAAI
Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li
2025 J jnl
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants.
CoRR
Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens
2025 A* conf
Eia: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage.
ICLR
Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun
2025 J jnl
Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning.
CoRR
Xinbin Yuan, Jian Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li
2025 J jnl
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models.
CoRR
Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro
2025 A* conf
GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning.
ICML
Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2025 J jnl
GuardSet-X: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset.
CoRR
Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li
2025 — conf
Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications.
ACL (5)
Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi
2025 A* conf
LAMPS '25: ACM CCS Workshop on Large AI Systems and Models with Privacy and Security Analysis.
CCS
Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Bo Li, Wenyuan Xu, Jieshan Chen, Minhui Xue, Xingliang Yuan, Guangdong Bai, Shuo Wang
2025 — conf
Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes.
MedInfo
Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025 J jnl
Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes.
CoRR
Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025 A* conf
Learning Adaptive Lighting via Channel-Aware Guidance.
ICML
Qirui Yang, Peng-Tao Jiang, Hao Zhang, Jinwei Chen, Bo Li, Huanjing Yue, Jingyu Yang
2025 J jnl
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models.
CoRR
Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song
2025 J jnl
Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis.
CoRR
Mintong Kang, Chong Xiang, Sanjay Kariyappa, Chaowei Xiao, Bo Li, G. Edward Suh
2025 — conf
On Memorization of Large Language Models in Logical Reasoning.
IJCNLP-AACL (long papers)
Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
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
Photography Perspective Composition: Towards Aesthetic Perspective Recommendation.
CoRR
Lujian Yao, Siming Zheng, Xinbin Yuan, Zhuoxuan Cai, Pu Wu, Jinwei Chen, Bo Li, Peng-Tao Jiang
2025 — ed.
Proceedings of the 2025 Workshop on Large AI Systems and Models with Privacy and Security Analysis, LAMPS 2025, TaipeiTaiwan, October 13-17, 2025
LAMPS@CCS
Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Ruoxi Sun, Bo Li, Wenyuan Xu, Jieshan Chen, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2025 J jnl
PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image Models.
CoRR
Lingzhi Yuan, Xinfeng Li, Chejian Xu, Guanhong Tao, Xiaojun Jia, Yihao Huang, Wei Dong, Yang Liu, Xiaofeng Wang, Bo Li
2025 A* conf
Provably Unlearnable Data Examples.
NDSS
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 A* conf
R2-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning.
ICLR
Mintong Kang, Bo Li
2025 J jnl
RED: Robust Event-Guided Motion Deblurring with Modality-Specific Disentangled Representation.
CoRR
Yihong Leng, Siming Zheng, Jinwei Chen, Bo Li, Jiaojiao Li, Peng-Tao Jiang
2025 J jnl
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration.
CoRR
Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng
2025 J jnl
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents.
CoRR
Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li
2025 A* conf
Reliable and Efficient Amortized Model-based Evaluation.
ICML
Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo
2025 J jnl
Reliable and Efficient Amortized Model-based Evaluation.
CoRR
Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo
2025 A* conf
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal.
ICLR
Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
2025 J jnl
SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge.
CoRR
Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran
2025 A* conf
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models.
ICML
Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li
2025 J jnl
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models.
CoRR
Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li
2025 — conf
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.
ACL (Findings)
Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran
2025 J jnl
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.
CoRR
Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran
2025 J jnl
SafeVision: Efficient Image Guardrail with Robust Policy Adherence and Explainability.
CoRR
Peiyang Xu, Minzhou Pan, Zhaorun Chen, Shuang Yang, Chaowei Xiao, Bo Li
2025 A* conf
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations.
ICLR
Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li
2025 J jnl
Scaling Agent Learning via Experience Synthesis.
CoRR
Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Sara Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason Weston, Dat Huynh
2025 J jnl
Semantically Adversarial Scene Generation With Explicit Knowledge Guidance.
IEEE Trans. Intell. Transp. Syst.
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2025 A* conf
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning.
ICML
Zhaorun Chen, Mintong Kang, Bo Li
2025 J jnl
ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning.
CoRR
Zhaorun Chen, Mintong Kang, Bo Li
2025 A* conf
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study.
AAAI
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2025 A* conf
Tamper-Resistant Safeguards for Open-Weight LLMs.
ICLR
Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika
2025 A* conf
Towards Statistical Factuality Guarantee for Large Vision-Language Models.
EMNLP
Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin
2025 J jnl
Towards Statistical Factuality Guarantee for Large Vision-Language Models.
CoRR
Zhuohang Li, Chao Yan, Nicholas J. Jackson, Wendi Cui, Bo Li, Jiaxin Zhang, Bradley A. Malin
2025 J jnl
Trustworthy Machine Learning: From Data to Models.
Found. Trends Priv. Secur.
Bo Han, Jiangchao Yao, Tongliang Liu, Bo Li, Sanmi Koyejo, Feng Liu
2025 A* conf
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning.
ICML
Jiawei Zhang, Shuang Yang, Bo Li
2025 J jnl
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning.
CoRR
Jiawei Zhang, Shuang Yang, Bo Li
2025 A* conf
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
ICML
Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2025 J jnl
VMDT: Decoding the Trustworthiness of Video Foundation Models.
CoRR
Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song
2025 J jnl
VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection.
CoRR
Yuzhou Nie, Hongwei Li, Chengquan Guo, RuiZhe Jiang, Zhun Wang, Bo Li, Dawn Song, Wenbo Guo
2025 A* conf
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift.
CCS
Jiamin Chang, Haoyang Li, Hammond Pearce, Ruoxi Sun, Bo Li, Minhui Xue
2025 J jnl
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift.
CoRR
Jiamin Chang, Haoyang Li, Hammond Pearce, Ruoxi Sun, Bo Li, Minhui Xue
2024 J jnl
2023 Low-Power Computer Vision Challenge (LPCVC) Summary.
CoRR
Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2024 A* conf
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning.
USENIX Security Symposium
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
2024 J jnl
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning.
CoRR
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
2024 J jnl
AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.
CoRR
Yi Zeng, Kevin Klyman, Andy Zhou, Yu Yang, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
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 J jnl
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies.
CoRR
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, Percy Liang, Bo Li
2024 J jnl
ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming.
CoRR
Simone Tedeschi, Felix Friedrich, Patrick Schramowski, Kristian Kersting, Roberto Navigli, Huu Nguyen, Bo Li
2024 J jnl
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models.
CoRR
Mintong Kang, Chejian Xu, Bo Li
2024 J jnl
AdvWeb: Controllable Black-box Attacks on VLM-powered Web Agents.
CoRR
Chejian Xu, Mintong Kang, Jiawei Zhang, Zeyi Liao, Lingbo Mo, Mengqi Yuan, Huan Sun, Bo Li
2024 A* conf
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases.
NeurIPS
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
2024 J jnl
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases.
CoRR
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
2024 — conf
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs.
ACL (1)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024 J jnl
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs.
CoRR
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024 J jnl
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.
CoRR
Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao
2024 J jnl
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
CoRR
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024 A* conf
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models.
EMNLP
Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia
2024 J jnl
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models.
CoRR
Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia
2024 A* conf
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment.
NeurIPS
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Sharon Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
2024 A* conf
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models.
ICLR
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
2024 J jnl
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models.
CoRR
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
2024 J jnl
Benchmarking Large Multimodal Models against Common Corruptions.
CoRR
Jiawei Zhang, Tianyu Pang, Chao Du, Yi Ren, Bo Li, Min Lin
2024 J jnl
Benchmarking Robustness of Multimodal Image-Text Models under Distribution Shift.
J. Data-centric Mach. Learn. Res.
Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2024 J jnl
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.
CoRR
Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2024 A* conf
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models.
ICML
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
2024 J jnl
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models.
CoRR
Mintong Kang, Nezihe Merve Gürel, Ning Yu, Dawn Song, Bo Li
2024 A* conf
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits.
ICLR
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
2024 J jnl
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits.
CoRR
Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
2024 J jnl
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks.
CoRR
Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li
2024 — conf
CaMML: Context-Aware Multimodal Learner for Large Models.
ACL (1)
Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li
2024 J jnl
CaMML: Context-Aware Multimodal Learner for Large Models.
CoRR
Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li
2024 — conf
Can Public Large Language Models Help Private Cross-device Federated Learning?
NAACL-HLT (Findings)
Boxin Wang, Yibo Zhang, Yuan Cao, Bo Li, Hugh McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2024 A* conf
Certifiably Byzantine-Robust Federated Conformal Prediction.
ICML
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 J jnl
Certifiably Byzantine-Robust Federated Conformal Prediction.
CoRR
Mintong Kang, Zhen Lin, Jimeng Sun, Cao Xiao, Bo Li
2024 A* conf
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles.
CVPR
Jiawei Zhang, Chejian Xu, Bo Li
2024 J jnl
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles.
CoRR
Jiawei Zhang, Chejian Xu, Bo Li
2024 A* conf
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.
NeurIPS
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao
2024 J jnl
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.
CoRR
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao
2024 A* conf
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.
ICLR
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2024 A* conf
Data Free Backdoor Attacks.
NeurIPS
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024 J jnl
Data Free Backdoor Attacks.
CoRR
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024 J jnl
Data, Data Everywhere: A Guide for Pretraining Dataset Construction.
CoRR
Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Li, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2024 A* conf
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
ICML
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024 J jnl
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
CoRR
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li
2024 A* conf
Differentially Private Synthetic Data via Foundation Model APIs 2: Text.
ICML
Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
2024 J jnl
Differentially Private Synthetic Data via Foundation Model APIs 2: Text.
CoRR
Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
2024 J jnl
EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage.
CoRR
Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, Huan Sun
2024 A* conf
Effective and Efficient Federated Tree Learning on Hybrid Data.
ICLR
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2024 A* conf
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing.
ICML
Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li
2024 J jnl
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing.
CoRR
Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li
2024 A* conf
Fair Federated Learning via the Proportional Veto Core.
ICML
Bhaskar Ray Chaudhury, Aniket Murhekar, Zhuowen Yuan, Bo Li, Ruta Mehta, Ariel D. Procaccia
2024 B conf
FriendlyFoe: Adversarial Machine Learning as a Practical Architectural Defense against Side Channel Attacks.
PACT
Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas
2024 A* conf
GRATH: Gradual Self-Truthifying for Large Language Models.
ICML
Weixin Chen, Dawn Song, Bo Li
2024 J jnl
GRATH: Gradual Self-Truthifying for Large Language Models.
CoRR
Weixin Chen, Dawn Song, Bo Li
2024 J jnl
Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors.
CoRR
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024 J jnl
Gradual Domain Adaptation: Theory and Algorithms.
J. Mach. Learn. Res.
Yifei He, Haoxiang Wang, Bo Li, Han Zhao
2024 J jnl
GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning.
CoRR
Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2024 A* conf
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.
ICML
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou
2024 J jnl
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.
CoRR
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou
2024 A* conf
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.
ICML
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
2024 J jnl
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.
CoRR
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks
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 A* conf
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.
ICML
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2024 J jnl
Introducing v0.5 of the AI Safety Benchmark from MLCommons.
CoRR
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
2024 A* conf
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data.
CCS
Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, Bo Li
2024 J jnl
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data.
CoRR
Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, Bo Li
2024 J jnl
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking.
CoRR
Jiawei Zhang, Chejian Xu, Yu Gai, Freddy Lécué, Dawn Song, Bo Li
2024 A* conf
LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis.
CCS
Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2024 J jnl
LLM-PBE: Assessing Data Privacy in Large Language Models.
CoRR
Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024 J jnl
LLM-PBE: Assessing Data Privacy in Large Language Models.
Proc. VLDB Endow.
Qinbin Li, Junyuan Hong, Chulin Xie, Jeffrey Tan, Rachel Xin, Junyi Hou, Xavier Yin, Zhun Wang, Dan Hendrycks, Zhangyang Wang, Bo Li, Bingsheng He, Dawn Song
2024 J jnl
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps.
CoRR
Felix Friedrich, Simone Tedeschi, Patrick Schramowski, Manuel Brack, Roberto Navigli, Huu Nguyen, Bo Li, Kristian Kersting
2024 A* conf
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.
CVPR
Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang
2024 J jnl
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.
CoRR
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
2024 J jnl
On Memorization of Large Language Models in Logical Reasoning.
CoRR
Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar
2024 A conf
POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors.
AsiaCCS
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024 A conf
POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.
AsiaCCS
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2024 A* conf
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.
CVPR
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
2024 J jnl
Perception simplex: Verifiable collision avoidance in autonomous vehicles amidst obstacle detection faults.
Softw. Test. Verification Reliab.
Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
2024 J jnl
Provably Unlearnable Examples.
CoRR
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2024 J jnl
R
CoRR
Mintong Kang, Bo Li
2024 J jnl
Reconstruction of Differentially Private Text Sanitization via Large Language Models.
CoRR
Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue, Bo Li
2024 A* conf
RedCode: Risky Code Execution and Generation Benchmark for Code Agents.
NeurIPS
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
2024 J jnl
RedCode: Risky Code Execution and Generation Benchmark for Code Agents.
CoRR
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
2024 A* conf
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.
ICML
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li
2024 J jnl
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content.
CoRR
Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li
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
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks.
CoRR
Andy Zhou, Bo Li, Haohan Wang
2024 A* conf
SHINE: Shielding Backdoors in Deep Reinforcement Learning.
ICML
Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song
2024 J jnl
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.
CoRR
Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, Prateek Mittal
2024 J jnl
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations.
CoRR
Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li
2024 J jnl
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI.
CoRR
Yu Yang, Yuzhou Nie, Zhun Wang, Yuheng Tang, Wenbo Guo, Bo Li, Dawn Song
2024 — conf
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
SaTML
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
2024 J jnl
Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.
CoRR
Zhangheng Li, Junyuan Hong, Bo Li, Zhangyang Wang
2024 A* conf
SoK: Privacy-Preserving Data Synthesis.
SP
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2024 J jnl
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach.
CoRR
Ruoxi Sun, Jiamin Chang, Hammond Pearce, Chaowei Xiao, Bo Li, Qi Wu, Surya Nepal, Minhui Xue
2024 J jnl
Tamper-Resistant Safeguards for Open-Weight LLMs.
CoRR
Rishub Tamirisa, Bhrugu Bharathi, Long Phan, Andy Zhou, Alice Gatti, Tarun Suresh, Maxwell Lin, Justin Wang, Rowan Wang, Ron Arel, Andy Zou, Dawn Song, Bo Li, Dan Hendrycks, Mantas Mazeika
2024 A* conf
TextGuard: Provable Defense against Backdoor Attacks on Text Classification.
NDSS
Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
2024 A conf
Towards Trustworthy Large Language Models.
WSDM
Sanmi Koyejo, Bo Li
2024 J jnl
Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning.
CoRR
Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien
2024 J jnl
VeriFi: Towards Verifiable Federated Unlearning.
IEEE Trans. Dependable Secur. Comput.
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
2024 J jnl
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte.
CoRR
Siyuan Ma, Weidi Luo, Yu Wang, Xiaogeng Liu, Muhao Chen, Bo Li, Chaowei Xiao
2023 J jnl
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.
IEEE Trans. Intell. Transp. Syst.
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
2023 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023 — conf
CARE: Certifiably Robust Learning with Reasoning via Variational Inference.
SaTML
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
2023 A* conf
CBD: A Certified Backdoor Detector Based on Local Dominant Probability.
NeurIPS
Zhen Xiang, Zidi Xiong, Bo Li
2023 J jnl
CBD: A Certified Backdoor Detector Based on Local Dominant Probability.
CoRR
Zhen Xiang, Zidi Xiong, Bo Li
2023 — conf
Can Brain Signals Reveal Inner Alignment with Human Languages?
EMNLP (Findings)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
2023 J jnl
Can Pruning Improve Certified Robustness of Neural Networks?
Trans. Mach. Learn. Res.
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2023 J jnl
Can Public Large Language Models Help Private Cross-device Federated Learning?
CoRR
Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer
2023 J jnl
Constructing gene features for robust 3D mesh zero-watermarking.
J. Inf. Secur. Appl.
Jung-San Lee, Ying-Chin Chen, Chit-Jie Chew, Wei-Che Hung, Yun-Yi Fan, Bo Li
2023 J jnl
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.
CoRR
Junyuan Hong, Jiachen T. Wang, Chenhui Zhang, Zhangheng Li, Bo Li, Zhangyang Wang
2023 J jnl
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.
IEEE Trans. Pattern Anal. Mach. Intell.
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2023 A* conf
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
NeurIPS
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023 J jnl
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.
CoRR
Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
2023 J jnl
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation.
CoRR
Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas
2023 A* conf
DensePure: Understanding Diffusion Models for Adversarial Robustness.
ICLR
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
2023 A* conf
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification.
NeurIPS
Mintong Kang, Dawn Song, Bo Li
2023 J jnl
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification.
CoRR
Mintong Kang, Dawn Song, Bo Li
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 A* conf
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.
NeurIPS
Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023 J jnl
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.
CoRR
Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023 — conf
EDoG: Adversarial Edge Detection For Graph Neural Networks.
SaTML
Xiaojun Xu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li
2023 J jnl
Effective and Efficient Federated Tree Learning on Hybrid Data.
CoRR
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song
2023 — conf
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs.
SaTML
Mintong Kang, Linyi Li, Bo Li
2023 A* conf
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning.
NeurIPS
Jinyuan Jia, Zhuowen Yuan, Dinuka Sahabandu, Luyao Niu, Arezoo Rajabi, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2023 J jnl
Gradual Domain Adaptation: Theory and Algorithms.
CoRR
Yifei He, Haoxiang Wang, Bo Li, Han Zhao
2023 A conf
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.
AISTATS
Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
2023 A* conf
How to Cover up Anomalous Accesses to Electronic Health Records.
USENIX Security Symposium
Xiaojun Xu, Qingying Hao, Zhuolin Yang, Bo Li, David M. Liebovitz, Gang Wang, Carl A. Gunter
2023 A* conf
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.
NeurIPS
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023 J jnl
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.
CoRR
Bochuan Cao, Changjiang Li, Ting Wang, Jinyuan Jia, Bo Li, Jinghui Chen
2023 J jnl
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications.
CoRR
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
2023 A* conf
Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization.
NeurIPS
Aniket Murhekar, Zhuowen Yuan, Bhaskar Ray Chaudhury, Bo Li, Ruta Mehta
2023 J jnl
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.
CoRR
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2023 J jnl
Interpolation for Robust Learning: Data Augmentation on Geodesics.
CoRR
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023 A* conf
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.
ICML
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
2023 J jnl
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms.
CoRR
Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si, Bo Li, Han Zhao
2023 J jnl
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.
CoRR
Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang
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 J jnl
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.
CoRR
Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar
2023 — conf
Personal Data for Personal Use: Vision or Reality?
SIGMOD Conference Companion
Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan
2023 — ed.
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, LAMPS 2024, Salt Lake City, UT, USA, October 14-18, 2024
LAMPS@CCS
Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2023 A* conf
RAB: Provable Robustness Against Backdoor Attacks.
SP
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2023 — conf
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
EMNLP (Findings)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
2023 J jnl
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
CoRR
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
2023 A* conf
Reconstructive Neuron Pruning for Backdoor Defense.
ICML
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
2023 J jnl
Reconstructive Neuron Pruning for Backdoor Defense.
CoRR
Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang
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 — conf
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
ACL (Findings)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2023 A* conf
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.
EMNLP
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
2023 J jnl
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.
CoRR
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
2023 A* conf
SoK: Certified Robustness for Deep Neural Networks.
SP
Linyi Li, Tao Xie, Bo Li
2023 J jnl
SoK: Privacy-Preserving Data Synthesis.
CoRR
Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David A. Forsyth, Bo Li, Dawn Song
2023 J jnl
TextGuard: Provable Defense against Backdoor Attacks on Text Classification.
CoRR
Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
2023 A* conf
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets.
CVPR
Weixin Chen, Dawn Song, Bo Li
2023 J jnl
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets.
CoRR
Weixin Chen, Dawn Song, Bo Li
2023 A* conf
UMD: Unsupervised Model Detection for X2X Backdoor Attacks.
ICML
Zhen Xiang, Zidi Xiong, Bo Li
2023 J jnl
UMD: Unsupervised Model Detection for X2X Backdoor Attacks.
CoRR
Zhen Xiang, Zidi Xiong, Bo Li
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 A* conf
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.
NeurIPS
Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
2023 J jnl
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.
CoRR
Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang
2022 J jnl
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.
CoRR
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
2022 A* conf
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
ICML
Xiaojun Xu, Jacky Y. Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li
2022 J jnl
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
CoRR
Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li
2022 J jnl
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.
CoRR
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
2022 J jnl
Are Multimodal Models Robust to Image and Text Perturbations?
CoRR
Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
2022 J jnl
CARE: Certifiably Robust Learning with Reasoning via Variational Inference.
CoRR
Jiawei Zhang, Linyi Li, Ce Zhang, Bo Li
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 A* conf
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.
ICLR
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
2022 J jnl
Can pruning improve certified robustness of neural networks?
CoRR
Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang
2022 Misc conf
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation.
CoRL
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022 — conf
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).
ITSC
Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, Ding Zhao
2022 A* conf
Certifying Out-of-Domain Generalization for Blackbox Functions.
ICML
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022 J jnl
Certifying Out-of-Domain Generalization for Blackbox Functions.
CoRR
Maurice Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang
2022 A* conf
Certifying Some Distributional Fairness with Subpopulation Decomposition.
NeurIPS
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022 J jnl
Certifying Some Distributional Fairness with Subpopulation Decomposition.
CoRR
Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
2022 A conf
Characterizing Attacks on Deep Reinforcement Learning.
AAMAS
Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Mingyan Liu, Bo Li, Dawn Song
2022 A* conf
CoPur: Certifiably Robust Collaborative Inference via Feature Purification.
NeurIPS
Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li
2022 A* conf
Constrained Variational Policy Optimization for Safe Reinforcement Learning.
ICML
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao
2022 J jnl
Constrained Variational Policy Optimization for Safe Reinforcement Learning.
CoRR
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Zhiwei Steven Wu, Bo Li, Ding Zhao
2022 J jnl
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing.
CoRR
Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs-Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava
2022 A* conf
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.
SP
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
2022 J jnl
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines.
CoRR
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
2022 J jnl
DensePure: Understanding Diffusion Models towards Adversarial Robustness.
CoRR
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
2022 J jnl
DetectS ec: Evaluating the robustness of object detection models to adversarial attacks.
Int. J. Intell. Syst.
Tianyu Du, Shouling Ji, Bo Wang, Sirui He, Jinfeng Li, Bo Li, Tao Wei, Yunhan Jia, Raheem Beyah, Ting Wang
2022 A* conf
Double Sampling Randomized Smoothing.
ICML
Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
2022 J jnl
Double Sampling Randomized Smoothing.
CoRR
Linyi Li, Jiawei Zhang, Tao Xie, Bo Li
2022 J jnl
EDoG: Adversarial Edge Detection For Graph Neural Networks.
CoRR
Xiaojun Xu, Yue Yu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li
2022 A* conf
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.
NeurIPS
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022 J jnl
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.
CoRR
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022 J jnl
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.
CoRR
Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Han Zhao, Bo Li
2022 A* conf
Fairness in Federated Learning via Core-Stability.
NeurIPS
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
2022 J jnl
Fairness in Federated Learning via Core-Stability.
CoRR
Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta
2022 J jnl
Game of Trojans: A Submodular Byzantine Approach.
CoRR
Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu, Bo Li, Bhaskar Ramasubramanian, Radha Poovendran
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
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.
NeurIPS
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022 J jnl
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.
CoRR
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2022 — conf
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
MLHC
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
2022 J jnl
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
CoRR
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
2022 A* conf
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.
CVPR
Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022 J jnl
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.
CoRR
Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li
2022 J jnl
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.
CoRR
Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
2022 A* conf
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection.
ICML
Mantas Mazeika, Bo Li, David A. Forsyth
2022 J jnl
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection.
CoRR
Mantas Mazeika, Bo Li, David A. Forsyth
2022 A* conf
Improving Certified Robustness via Statistical Learning with Logical Reasoning.
NeurIPS
Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li
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
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond.
CoRR
Yuzheng Hu, Tianle Cai, Jinyong Shan, Shange Tang, Chaochao Cai, Ethan Song, Bo Li, Dawn Song
2022 A* conf
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.
SP
Fan Wu, Yunhui Long, Ce Zhang, Bo Li
2022 A* conf
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness.
NeurIPS
Xiaojun Xu, Linyi Li, Bo Li
2022 J jnl
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness.
CoRR
Xiaojun Xu, Linyi Li, Bo Li
2022 J jnl
MHMS: Multimodal Hierarchical Multimedia Summarization.
CoRR
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2022 A* conf
On the Certified Robustness for Ensemble Models and Beyond.
ICLR
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
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 A conf
Perturbation type categorization for multiple adversarial perturbation robustness.
UAI
Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song
2022 — conf
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
CHIL
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
2022 J jnl
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
CoRR
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
2022 A* conf
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures.
CVPR
Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt
2022 J jnl
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions.
CoRR
Chulin Xie, Zhong Cao, Yunhui Long, Diange Yang, Ding Zhao, Bo Li
2022 A* conf
Provable Domain Generalization via Invariant-Feature Subspace Recovery.
ICML
Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao
2022 J jnl
Provable Domain Generalization via Invariant-Feature Subspace Recovery.
CoRR
Haoxiang Wang, Haozhe Si, Bo Li, Han Zhao
2022 A* conf
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles.
NeurIPS
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
2022 J jnl
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles.
CoRR
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
2022 J jnl
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination.
CoRR
Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
2022 — conf
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination.
ECCV (5)
Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li
2022 — conf
SemAttack: Natural Textual Attacks via Different Semantic Spaces.
NAACL-HLT (Findings)
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2022 J jnl
SemAttack: Natural Textual Attacks via Different Semantic Spaces.
CoRR
Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
2022 J jnl
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
CoRR
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
2022 J jnl
Synergistic Redundancy: Towards Verifiable Safety for Autonomous Vehicles.
CoRR
Ayoosh Bansal, Simon Yu, Hunmin Kim, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
2022 A* conf
TPC: Transformation-Specific Smoothing for Point Cloud Models.
ICML
Wenda Chu, Linyi Li, Bo Li
2022 J jnl
TPC: Transformation-Specific Smoothing for Point Cloud Models.
CoRR
Wenda Chu, Linyi Li, Bo Li
2022 J jnl
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.
CoRR
Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Henry Lam, Bo Li, Ding Zhao
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
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method.
IEEE Internet Things J.
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex ChiChung Kot
2022 J jnl
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications.
IEEE Trans. Dependable Secur. Comput.
Changjiang Li, Shouling Ji, Haiqin Weng, Bo Li, Jie Shi, Raheem Beyah, Shanqing Guo, Zonghui Wang, Ting Wang
2022 A conf
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.
CIKM
Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
2022 J jnl
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
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 A* conf
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond.
ICML
Haoxiang Wang, Bo Li, Han Zhao
2022 J jnl
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond.
CoRR
Haoxiang Wang, Bo Li, Han Zhao
2022 J jnl
UniFed: A Benchmark for Federated Learning Frameworks.
CoRR
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song
2022 A* conf
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection.
NeurIPS
Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2022 J jnl
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection.
CoRR
Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2022 A* conf
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
NeurIPS
Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, Bolin Ding, Bo Du, Anwar Hithnawi, Bo Li, Ce Zhang
2022 J jnl
VeriFi: Towards Verifiable Federated Unlearning.
CoRR
Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen
2022 A conf
Verifiable Obstacle Detection.
ISSRE
Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
2022 J jnl
Verifiable Obstacle Detection.
CoRR
Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha
2022 J jnl
Which Style Makes Me Attractive? Interpretable Control Discovery and Counterfactual Explanation on StyleGAN.
CoRR
Bo Li, Qiulin Wang, Jiquan Pei, Yu Yang, Xiangyang Ji
2021 J jnl
A Robust Hybrid Deep Learning Model for Spatiotemporal Image Fusion.
Remote. Sens.
Zijun Yang, Chunyuan Diao, Bo Li
2021 B conf
AI-GAN: Attack-Inspired Generation of Adversarial Examples.
ICIP
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot
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 — conf
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
NeurIPS Datasets and Benchmarks
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021 J jnl
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
CoRR
Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li
2021 A* conf
Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
NeurIPS
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 J jnl
Anti-Backdoor Learning: Training Clean Models on Poisoned Data.
CoRR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 B conf
Application-driven Privacy-preserving Data Publishing with Correlated Attributes.
EWSN
Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li, Sirajum Munir
2021 A* conf
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation.
ICML
Haoxiang Wang, Han Zhao, Bo Li
2021 J jnl
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation.
CoRR
Haoxiang Wang, Han Zhao, Bo Li
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 J jnl
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.
CoRR
Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li
2021 A* conf
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
ICCV
Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li
2021 J jnl
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.
CoRR
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
2021 J jnl
Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection.
CoRR
George Gunter, Huichen Li, Avesta Hojjati, Matthew Nice, Matthew R. Bunting, Carl A. Gunter, Bo Li, Jonathan Sprinkle, Daniel B. Work
2021 J jnl
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.
CoRR
Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song
2021 A* conf
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
CCS
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021 J jnl
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
CoRR
Boxin Wang, Fan Wu, Yunhui Long, Luka Rimanic, Ce Zhang, Bo Li
2021 A* conf
DeGNN: Improving Graph Neural Networks with Graph Decomposition.
KDD
Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
2021 A* conf
Detecting AI Trojans Using Meta Neural Analysis.
SP
Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li
2021 J jnl
Editorial: Safe and Trustworthy Machine Learning.
Frontiers Big Data
Bhavya Kailkhura, Pin-Yu Chen, Xue Lin, Bo Li
2021 A* conf
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.
NeurIPS
Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
2021 A* conf
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
ICLR
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2021 A* conf
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.
SP
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
2021 J jnl
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.
CoRR
Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, Ruigang Yang, Qi Alfred Chen, Mingyan Liu, Bo Li
2021 A* conf
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks.
ICML
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
2021 J jnl
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks.
CoRR
Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanic, Ce Zhang, Bo Li
2021 J jnl
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis.
CoRR
Fan Wu, Yunhui Long, Ce Zhang, Bo Li
2021 J jnl
MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities.
IEEE Internet Things J.
Yi Zhao, Ke Xu, Haiyang Wang, Bo Li, Meina Qiao, Haobin Shi
2021 — conf
MUSE: Textual Attributes Guided Portrait Painting Generation.
MIPR
Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi
2021 J jnl
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
IEEE Robotics Autom. Lett.
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
2021 A* conf
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.
ICLR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 J jnl
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.
CoRR
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, Xingjun Ma
2021 A conf
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks.
AISTATS
Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2021 J jnl
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks.
CoRR
Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2021 J jnl
On the Certified Robustness for Ensemble Models and Beyond.
CoRR
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li
2021 J jnl
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures.
CoRR
Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt
2021 A* conf
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation.
ICML
Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
2021 J jnl
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation.
CoRR
Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li
2021 A conf
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data.
AsiaCCS
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
2021 J jnl
Robust 3D mesh zero-watermarking based on spherical coordinate and Skewness measurement.
Multim. Tools Appl.
Jung-San Lee, Chieh Liu, Ying-Chin Chen, Wei-Che Hung, Bo Li
2021 J jnl
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning.
CoRR
Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, Klara Nahrstedt
2021 A* conf
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR
Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song
2021 J jnl
Self-supervised attention flow for dialogue state tracking.
Neurocomputing
Boyuan Pan, Yazheng Yang, Bo Li, Deng Cai
2021 J jnl
Semantically Controllable Scene Generation with Guidance of Explicit Knowledge.
CoRR
Wenhao Ding, Bo Li, Kim Ji Eun, Ding Zhao
2021 J jnl
Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services.
IEEE Netw.
Yi Zhao, Ke Xu, Haiyang Wang, Bo Li, Ruoxi Jia
2021 J jnl
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.
CoRR
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
2021 A* conf
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
NeurIPS
Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li
2021 A* conf
TSS: Transformation-Specific Smoothing for Robustness Certification.
CCS
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li
2021 — conf
The Trojan Detection Challenge.
NeurIPS (Competition and Demos)
Mantas Mazeika, Dan Hendrycks, Huichen Li, Xiaojun Xu, Sidney Q. Hough, Andy Zou, Arezoo Rajabi, Qi Yao, Zihao Wang, Jian Tian, Yao Tang, Di Tang, Roman Smirnov, Pavel Pleskov, Nikita Benkovich, Dawn Song, Radha Poovendran, Bo Li, David A. Forsyth
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 Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method.
CoRR
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, Alex C. Kot
2021 J jnl
Trustworthy AI: From Principles to Practices.
CoRR
Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou
2021 A* conf
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.
ICML
Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li
2021 A conf
Understanding Robustness in Teacher-Student Setting: A New Perspective.
AISTATS
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian
2021 J jnl
Understanding Robustness in Teacher-Student Setting: A New Perspective.
CoRR
Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian
2021 J jnl
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space.
CoRR
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang
2021 — conf
What Would Jiminy Cricket Do? Towards Agents That Behave Morally.
NeurIPS Datasets and Benchmarks
Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
2021 J jnl
What Would Jiminy Cricket Do? Towards Agents That Behave Morally.
CoRR
Dan Hendrycks, Mantas Mazeika, Andy Zou, Sahil Patel, Christine Zhu, Jesus Navarro, Dawn Song, Bo Li, Jacob Steinhardt
2020 A conf
A View-Adversarial Framework for Multi-View Network Embedding.
CIKM
Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020 J jnl
AI-GAN: Attack-Inspired Generation of Adversarial Examples.
CoRR
Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li
2020 A* conf
Adversarial Mutual Information for Text Generation.
ICML
Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li
2020 J jnl
Adversarial Mutual Information for Text Generation.
CoRR
Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li
2020 J jnl
Adversarial examples detection through the sensitivity in space mappings.
IET Comput. Vis.
Xurong Li, Shouling Ji, Juntao Ji, Zhenyu Ren, Chunming Wu, Bo Li, Ting Wang
2020 J jnl
Anomalous Example Detection in Deep Learning: A Survey.
IEEE Access
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
2020 J jnl
Anomalous Instance Detection in Deep Learning: A Survey.
CoRR
Saikiran Bulusu, Bhavya Kailkhura, Bo Li, Pramod K. Varshney, Dawn Song
2020 A* conf
Controllable Orthogonalization in Training DNNs.
CVPR
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
2020 J jnl
Controllable Orthogonalization in Training DNNs.
CoRR
Lei Huang, Li Liu, Fan Zhu, Diwen Wan, Zehuan Yuan, Bo Li, Ling Shao
2020 Misc conf
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection.
ICASSP
Qian Chen, Mengzhe Chen, Bo Li, Wen Wang
2020 J jnl
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection.
CoRR
Qian Chen, Mengzhe Chen, Bo Li, Wen Wang
2020 A* conf
DBA: Distributed Backdoor Attacks against Federated Learning.
ICLR
Chulin Xie, Keli Huang, Pin-Yu Chen, Bo Li
2020 J jnl
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.
CoRR
Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein
2020 J jnl
Does Adversarial Transferability Indicate Knowledge Transferability?
CoRR
Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li
2020 J jnl
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.
CoRR
Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang
2020 — conf
Evaluating Adversarial Robustness in Simulated Cerebellum.
Preregister@NeurIPS
Liu Yuezhang, Bo Li, Qifeng Chen
2020 J jnl
Evaluating adversarial robustness in simulated cerebellum.
CoRR
Liu Yuezhang, Bo Li, Qifeng Chen
2020 J jnl
Generating Adversarial yet Inconspicuous Patches with a Single Image.
CoRR
Jinqi Luo, Tao Bai, Jun Zhao, Bo Li
2020 J jnl
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.
CoRR
Haoxiang Wang, Ruoyu Sun, Bo Li
2020 A* conf
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks.
CCS
Shawn Shan, Emily Wenger, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
2020 A* conf
Improving Robustness of Deep-Learning-Based Image Reconstruction.
ICML
Ankit Raj, Yoram Bresler, Bo Li
2020 J jnl
Improving Robustness of Deep-Learning-Based Image Reconstruction.
CoRR
Ankit Raj, Yoram Bresler, Bo Li
2020 J jnl
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
CoRR
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
2020 J jnl
Learning salient seeds refer to the manifold ranking and background-prior strategy.
Multim. Tools Appl.
Yung-Chen Chou, Yu-Wei Nien, Ying-Chin Chen, Bo Li, Jung-San Lee
2020 A* conf
Leveraging EM Side-Channel Information to Detect Rowhammer Attacks.
SP
Zhenkai Zhang, Zihao Zhan, Daniel Balasubramanian, Bo Li, Péter Völgyesi, Xenofon D. Koutsoukos
2020 J jnl
MUSE: Illustrating Textual Attributes by Portrait Generation.
CoRR
Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi
2020 J jnl
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
CoRR
Wenhao Ding, Baiming Chen, Bo Li, Kim Ji Eun, Ding Zhao
2020 A* conf
On Convergence of Nearest Neighbor Classifiers over Feature Transformations.
NeurIPS
Luka Rimanic, Cédric Renggli, Bo Li, Ce Zhang
2020 J jnl
On Convergence of Nearest Neighbor Classifiers over Feature Transformations.
CoRR
Luka Rimanic, Cédric Renggli, Bo Li, Ce Zhang
2020 — conf
On the Impact of Perceptual Compression on Deep Learning.
MIPR
Gerald Friedland, Ruoxi Jia, Jingkang Wang, Bo Li, T. Nathan Mundhenk
2020 J jnl
On the Limitations of Denoising Strategies as Adversarial Defenses.
CoRR
Zhonghan Niu, Zhaoxi Chen, Linyi Li, Yubin Yang, Bo Li, Jinfeng Yi
2020 J jnl
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.
CoRR
Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao
2020 J jnl
Provable Robust Learning Based on Transformation-Specific Smoothing.
CoRR
Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Tao Xie, Ce Zhang, Bo Li
2020 A* conf
QEBA: Query-Efficient Boundary-Based Blackbox Attack.
CVPR
Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2020 J jnl
QEBA: Query-Efficient Boundary-Based Blackbox Attack.
CoRR
Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li
2020 J jnl
RAB: Provable Robustness Against Backdoor Attacks.
CoRR
Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, Bo Li
2020 A* conf
Reinforcement Learning with Perturbed Rewards.
AAAI
Jingkang Wang, Yang Liu, Bo Li
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
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 J jnl
Secure Network Release with Link Privacy.
CoRR
Carl Yang, Haonan Wang, Lichao Sun, Bo Li
2020 — conf
SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing.
ECCV (14)
Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li
2020 J jnl
SoK: Certified Robustness for Deep Neural Networks.
CoRR
Linyi Li, Xiangyu Qi, Tao Xie, Bo Li
2020 — conf
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack.
EMNLP (1)
Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li
2020 A* conf
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.
CVPR
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
2020 A* conf
To Warn or Not to Warn: Online Signaling in Audit Games.
ICDE
Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin
2020 J jnl
Towards Evaluating the Robustness of Chinese BERT Classifiers.
CoRR
Boxin Wang, Boyuan Pan, Xin Li, Bo Li
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
2020 A* conf
Unrestricted Adversarial Examples via Semantic Manipulation.
ICLR
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
2019 J jnl
AdvCodec: Towards A Unified Framework for Adversarial Text Generation.
CoRR
Boxin Wang, Hengzhi Pei, Han Liu, Bo Li
2019 A* conf
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos.
ICCV
Chaowei Xiao, Ruizhi Deng, Bo Li, Taesung Lee, Benjamin Edwards, Jinfeng Yi, Dawn Song, Mingyan Liu, Ian M. Molloy
2019 J jnl
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems.
CoRR
Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li
2019 J jnl
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms.
CoRR
Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song
2019 J jnl
Attack-Resistant Federated Learning with Residual-based Reweighting.
CoRR
Shuhao Fu, Chulin Xie, Bo Li, Qifeng Chen
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 J jnl
Big but Imperceptible Adversarial Perturbations via Semantic Manipulation.
CoRR
Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David A. Forsyth
2019 J jnl
Characterizing Attacks on Deep Reinforcement Learning.
CoRR
Chaowei Xiao, Xinlei Pan, Warren He, Jian Peng, Mingjie Sun, Jinfeng Yi, Mingyan Liu, Bo Li, Dawn Song
2019 — conf
Characterizing Audio Adversarial Examples Using Temporal Dependency.
ICLR (Poster)
Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song
2019 A* conf
DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model.
IEEE Symposium on Security and Privacy
Xiang Ling, Shouling Ji, Jiaxu Zou, Jiannan Wang, Chunming Wu, Bo Li, Ting Wang
2019 J jnl
Database Audit Workload Prioritization via Game Theory.
ACM Trans. Priv. Secur.
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2019 A conf
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems.
SANER
Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao
2019 A conf
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks.
ISSTA
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See
2019 J jnl
Detecting AI Trojans Using Meta Neural Analysis.
CoRR
Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li
2019 J jnl
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.
CoRR
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
2019 J jnl
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms.
Proc. VLDB Endow.
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gürel, Bo Li, Ce Zhang, Costas J. Spanos, Dawn Song
2019 A* conf
Generating 3D Adversarial Point Clouds.
CVPR
Chong Xiang, Charles R. Qi, Bo Li
2019 J jnl
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.
CoRR
Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
2019 J jnl
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning.
CoRR
Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song
2019 A conf
How You Act Tells a Lot: Privacy-Leaking Attack on Deep Reinforcement Learning.
AAMAS
Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang, Bo Li, Jinfeng Yi, Dawn Song
2019 A* conf
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features.
USENIX Security Symposium
Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik
2019 A* conf
MeshAdv: Adversarial Meshes for Visual Recognition.
CVPR
Chaowei Xiao, Dawei Yang, Bo Li, Jia Deng, Mingyan Liu
2019 A* conf
Performing Co-membership Attacks Against Deep Generative Models.
ICDM
Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao
2019 J jnl
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data.
CoRR
Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song
2019 A* conf
Robust Inference via Generative Classifiers for Handling Noisy Labels.
ICML
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 J jnl
Robust Inference via Generative Classifiers for Handling Noisy Labels.
CoRR
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
2019 A* conf
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space.
IJCAI
Linyi Li, Zexuan Zhong, Bo Li, Tao Xie
2019 J jnl
Scalable Differentially Private Generative Student Model via PATE.
CoRR
Yunhui Long, Suxin Lin, Zhuolin Yang, Carl A. Gunter, Bo Li
2019 J jnl
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing.
CoRR
Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li
2019 A* conf
TextBugger: Generating Adversarial Text Against Real-world Applications.
NDSS
Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, Ting Wang
2019 J jnl
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.
CoRR
Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song
2019 J jnl
To Warn or Not to Warn: Online Signaling in Audit Games.
CoRR
Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, Bradley A. Malin
2019 A conf
Towards Efficient Data Valuation Based on the Shapley Value.
AISTATS
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
2019 J jnl
Towards Efficient Data Valuation Based on the Shapley Value.
CoRR
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gürel, Bo Li, Ce Zhang, Dawn Song, Costas J. Spanos
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
A Joint Optimization Approach for Personalized Recommendation Diversification.
PAKDD (3)
Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang
2018 J jnl
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.
CoRR
Sen Chen, Guozhu Meng, Ting Su, Lingling Fan, Yinxing Xue, Yang Liu, Lihua Xu, Minhui Xue, Bo Li, Shuang Hao
2018 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
CoRR
Lichao Sun, Ji Wang, Philip S. Yu, Bo Li
2018 J jnl
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach.
Comput. Secur.
Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li
2018 — conf
Black-box Attacks on Deep Neural Networks via Gradient Estimation.
ICLR (Workshop)
Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song
2018 — conf
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
ECCV (10)
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
2018 J jnl
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
CoRR
Chaowei Xiao, Ruizhi Deng, Bo Li, Fisher Yu, Mingyan Liu, Dawn Song
2018 — conf
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
ICLR
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey
2018 J jnl
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
CoRR
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey
2018 J jnl
Characterizing Audio Adversarial Examples Using Temporal Dependency.
CoRR
Zhuolin Yang, Bo Li, Pin-Yu Chen, Dawn Song
2018 J jnl
Combinatorial Testing for Deep Learning Systems.
CoRR
Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
Coverage-Guided Fuzzing for Deep Neural Networks.
CoRR
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
2018 J jnl
Data Poisoning Attack against Unsupervised Node Embedding Methods.
CoRR
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, Dawn Song
2018 — conf
Decision Boundary Analysis of Adversarial Examples.
ICLR (Poster)
Warren He, Bo Li, Dawn Song
2018 J jnl
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.
CoRR
Lei Ma, Felix Juefei-Xu, Jiyuan Sun, Chunyang Chen, Ting Su, Fuyuan Zhang, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 A* conf
DeepGauge: multi-granularity testing criteria for deep learning systems.
ASE
Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 A conf
DeepMutation: Mutation Testing of Deep Learning Systems.
ISSRE
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
DeepMutation: Mutation Testing of Deep Learning Systems.
CoRR
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
Differentially Private Data Generative Models.
CoRR
Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu
2018 J jnl
Evasion-Robust Classification on Binary Domains.
ACM Trans. Knowl. Discov. Data
Bo Li, Yevgeniy Vorobeychik
2018 A* conf
From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild.
USENIX Security Symposium
Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, Tudor Dumitras
2018 J jnl
Generating 3D Adversarial Point Clouds.
CoRR
Chong Xiang, Charles R. Qi, Bo Li
2018 A* conf
Generating Adversarial Examples with Adversarial Networks.
IJCAI
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
2018 J jnl
Generating Adversarial Examples with Adversarial Networks.
CoRR
Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song
2018 J jnl
Generative Model: Membership Attack, Generalization and Diversity.
CoRR
Kin Sum Liu, Bo Li, Jie Gao
2018 A* conf
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing.
ICDE
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2018 J jnl
Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing.
CoRR
Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, Bradley A. Malin
2018 A* conf
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning.
IEEE Symposium on Security and Privacy
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018 J jnl
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning.
CoRR
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018 J jnl
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy.
CoRR
Jingkang Wang, Ruoxi Jia, Gerald Friedland, Bo Li, Costas J. Spanos
2018 A* conf
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
AAAI
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
2018 — conf
Physical Adversarial Examples for Object Detectors.
WOOT @ USENIX Security Symposium
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno
2018 J jnl
Physical Adversarial Examples for Object Detectors.
CoRR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramèr, Atul Prakash, Tadayoshi Kohno, Dawn Song
2018 C conf
Poisoning Attacks on Data-Driven Utility Learning in Games.
ACC
Ruoxi Jia, Ioannis C. Konstantakopoulos, Bo Li, Costas J. Spanos
2018 — conf
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms.
ECCV (12)
Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song
2018 J jnl
Protecting Sensitive Attributes via Generative Adversarial Networks.
CoRR
Aria Rezaei, Chaowei Xiao, Jie Gao, Bo Li
2018 J jnl
Realistic Adversarial Examples in 3D Meshes.
CoRR
Dawei Yang, Chaowei Xiao, Bo Li, Jia Deng, Mingyan Liu
2018 J jnl
Reinforcement Learning with Perturbed Rewards.
CoRR
Jingkang Wang, Yang Liu, Bo Li
2018 A* conf
Robust Physical-World Attacks on Deep Learning Visual Classification.
CVPR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, Dawn Song
2018 J jnl
Secure Deep Learning Engineering: A Software Quality Assurance Perspective.
CoRR
Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
2018 — conf
Spatially Transformed Adversarial Examples.
ICLR (Poster)
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
2018 J jnl
Spatially Transformed Adversarial Examples.
CoRR
Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
2018 J jnl
TextBugger: Generating Adversarial Text Against Real-world Applications.
CoRR
Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, Ting Wang
2018 J jnl
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity.
CoRR
Gerald Friedland, Jingkang Wang, Ruoxi Jia, Bo Li
2017 J jnl
Automated QoS-oriented cloud resource optimization using containers.
Autom. Softw. Eng.
Yu Sun, Jules White, Bo Li, Michael Walker, Hamilton A. Turner
2017 A* conf
Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents.
AAAI
Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu
2017 J jnl
Exploring the Space of Black-box Attacks on Deep Neural Networks.
CoRR
Arjun Nitin Bhagoji, Warren He, Bo Li, Dawn Song
2017 J jnl
Feature Conservation in Adversarial Classifier Evasion: A Case Study.
CoRR
Liang Tong, Bo Li, Chen Hajaj, Yevgeniy Vorobeychik
2017 — conf
Large-Scale Identification of Malicious Singleton Files.
CODASPY
Bo Li, Kevin A. Roundy, Christopher S. Gates, Yevgeniy Vorobeychik
2017 J jnl
Note on Attacking Object Detectors with Adversarial Stickers.
CoRR
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Dawn Song, Tadayoshi Kohno, Amir Rahmati, Atul Prakash, Florian Tramèr
2017 J jnl
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
CoRR
Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li
2017 J jnl
Projection Based Weight Normalization for Deep Neural Networks.
CoRR
Lei Huang, Xianglong Liu, Bo Lang, Bo Li
2017 — conf
Robust Linear Regression Against Training Data Poisoning.
AISec@CCS
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2017 J jnl
Robust Physical-World Attacks on Machine Learning Models.
CoRR
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, Dawn Song
2017 J jnl
SMP: Scalable Multicast Protocol for Granting Authority in Heterogeneous Networks.
Int. J. Netw. Secur.
Kuo-Jui Wei, Jung-San Lee, Bo Li
2017 J jnl
Scalable Iterative Classification for Sanitizing Large-Scale Datasets.
IEEE Trans. Knowl. Data Eng.
Bo Li, Yevgeniy Vorobeychik, Muqun Li, Bradley A. Malin
2017 J jnl
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.
CoRR
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song
2017 J jnl
Tracking millions of query intents with StarrySky and its applications.
Web Intell.
Qi Ye, Feng Wang, Bo Li, Zhimin Liu, Gang Li
2016 J jnl
A General Retraining Framework for Scalable Adversarial Classification.
CoRR
Bo Li, Yevgeniy Vorobeychik, Xinyun Chen
2016 A* conf
Behavioral Experiments in Email Filter Evasion.
AAAI
Liyiming Ke, Bo Li, Yevgeniy Vorobeychik
2016 — conf
Data Poisoning Attacks on Factorization-Based Collaborative Filtering.
NIPS
Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
2016 J jnl
Data Poisoning Attacks on Factorization-Based Collaborative Filtering.
CoRR
Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik
2016 — conf
Enhanced Query Classification with Millions of Fine-Grained Topics.
WAIM (2)
Qi Ye, Feng Wang, Bo Li, Zhimin Liu
2016 Misc conf
Learning Clinical Workflows to Identify Subgroups of Heart Failure Patients.
AMIA
Chao Yan, You Chen, Bo Li, David M. Liebovitz, Bradley A. Malin
2016 J jnl
Optimizing annotation resources for natural language de-identification via a game theoretic framework.
J. Biomed. Informatics
Muqun Li, David Carrell, John S. Aberdeen, Lynette Hirschman, Jacqueline Kirby, Bo Li, Yevgeniy Vorobeychik, Bradley A. Malin
2016 J jnl
Renovating Contaminative Image Archives Based on Patch Propagation and Adaptive Confidence Collation.
IEEE Trans. Circuits Syst. Video Technol.
Jung-San Lee, Kai-Rui Wen, Bo Li
2016 J jnl
Robust High-Dimensional Linear Regression.
CoRR
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2016 — —
Secure learning in adversarial environments.
Bo Li
2016 — conf
StarrySky: A Practical System to Track Millions of High-Precision Query Intents.
WWW (Companion Volume)
Qi Ye, Feng Wang, Bo Li
2015 A* conf
Iterative Classification for Sanitizing Large-Scale Datasets.
ICDM
Bo Li, Yevgeniy Vorobeychik, Muqun Li, Bradley A. Malin
2015 A conf
Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings.
AISTATS
Bo Li, Yevgeniy Vorobeychik
2015 — conf
Secure Learning and Mining in Adversarial Environments [Extended Abstract].
ICDM Workshops
Bo Li
2014 — conf
Feature Cross-Substitution in Adversarial Classification.
NIPS
Bo Li, Yevgeniy Vorobeychik
2014 B conf
On study design in neuroimaging heritability analyses.
Image Processing
Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter V. Kochunov, Bennett A. Landman
2014 A conf
Optimal randomized classification in adversarial settings.
AAMAS
Yevgeniy Vorobeychik, Bo Li
2014 J jnl
Self-Recognized Image Protection Technique that Resists Large-Scale Cropping.
IEEE Multim.
Jung-San Lee, Bo Li
2014 B conf
Shape-constrained multi-atlas segmentation of spleen in CT.
Image Processing
Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman
2013 J jnl
Aryabhata remainder theorem-based non-iterative electronic lottery mechanism with robustness.
IET Inf. Secur.
Jung-San Lee, Wei-Chiang Kao, Bo Li
2013 J jnl
HORME: hierarchical-object-relational medical management for electronic record.
Secur. Commun. Networks
Chien-Chang Yang, Kuo-Jui Wei, Bo Li, Jung-San Lee
2013 J jnl
Notes on "Authentication protocol using an identifier in an ad hoc network environment".
Math. Comput. Model.
Jung-San Lee, Bo Li
2012 — conf
Rapid prototyping of image processing workflows on massively parallel architectures.
WISES
Bo Li, János Sallai, Péter Völgyesi, Ákos Lédeczi
2009 — conf
A Brand-New Mobile Value-Added Service: M-Check.
NCM
Jung-San Lee, Bo Li, Yung-Chen Chou