Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. - Ruize Gao; Jiongxiao Wang; Kaiwen Zhou; Feng Liu 003; Binghui Xie; Gang Niu 001; Bo Han 003; James Cheng (ICML, 2022)

DensePure: Understanding Diffusion Models towards Adversarial Robustness. - Chaowei Xiao; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Weili Nie; Mingyan Liu; Anima Anandkumar; Bo Li 026; Dawn Song (CoRR, 2022)

Defending against Adversarial Audio via Diffusion Model. - Shutong Wu; Jiongxiao Wang; Wei Ping; Weili Nie; Chaowei Xiao (ICLR, 2023)

DensePure: Understanding Diffusion Models for Adversarial Robustness. - Chaowei Xiao; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Weili Nie; Mingyan Liu; Anima Anandkumar; Bo Li 026; Dawn Song (ICLR, 2023)

A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. - Jiachen Sun; Jiongxiao Wang; Weili Nie; Zhiding Yu; Zhuoqing Mao 001; Chaowei Xiao (ICML, 2023)

On the Exploitability of Instruction Tuning. - Manli Shu; Jiongxiao Wang; Chen Zhu 001; Jonas Geiping; Chaowei Xiao; Tom Goldstein (NeurIPS, 2023)

Adversarial Demonstration Attacks on Large Language Models. - Jiongxiao Wang; Zichen Liu; Keun Hee Park; Muhao Chen 001; Chaowei Xiao (CoRR, 2023)

ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. - Shengchao Liu; Jiongxiao Wang; Yijin Yang; Chengpeng Wang; Ling Liu 001; Hongyu Guo; Chaowei Xiao (CoRR, 2023)

On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. - Jiongxiao Wang; Junlin Wu 001; Muhao Chen 001; Yevgeniy Vorobeychik; Chaowei Xiao (CoRR, 2023)

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. - Wenjie Mo 001; Jiashu Xu; Qin Liu 010; Jiongxiao Wang; Jun Yan 012; Chaowei Xiao; Muhao Chen 001 (CoRR, 2023)

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. - Jiongxiao Wang; Junlin Wu 001; Muhao Chen 001; Yevgeniy Vorobeychik; Chaowei Xiao (ACL (1), 2024)

Conversational Drug Editing Using Retrieval and Domain Feedback. - Shengchao Liu; Jiongxiao Wang; Yijin Yang; Chengpeng Wang; Ling Liu 001; Hongyu Guo; Chaowei Xiao (ICLR, 2024)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. - Yiquan Li; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Jiachen Lei; Bo Li 026; Chaowei Xiao (NeurIPS, 2024)

BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment. - Jiongxiao Wang; Jiazhao Li; Yiquan Li; Xiangyu Qi; Junjie Hu 001; Sharon Li 001; Patrick McDaniel; Muhao Chen 001; Bo Li 026; Chaowei Xiao (NeurIPS, 2024)

Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. - Jiongxiao Wang; Jiazhao Li; Yiquan Li; Xiangyu Qi; Junjie Hu 001; Yixuan Li 001; Patrick McDaniel; Muhao Chen 001; Bo Li 026; Chaowei Xiao (CoRR, 2024)

Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors. - Jiachen Sun; Changsheng Wang; Jiongxiao Wang; Yiwei Zhang; Chaowei Xiao (CoRR, 2024)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. - Yiquan Li; Zhongzhu Chen; Kun Jin; Jiongxiao Wang; Bo Li 026; Chaowei Xiao (CoRR, 2024)

FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks. - Jiongxiao Wang; Fangzhou Wu; Wendi Li; Jinsheng Pan; G. Edward Suh; Z. Morley Mao; Muhao Chen 001; Chaowei Xiao (CoRR, 2024)

Robust Representation Consistency Model via Contrastive Denoising. - Jiachen Lei; Julius Berner; Jiongxiao Wang; Zhongzhu Chen; Chaowei Xiao; Zhongjie Ba; Kui Ren 001; Jun Zhu 001; Anima Anandkumar (ICLR, 2025)

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. - Yingzi Ma; Jiongxiao Wang; Fei Wang 060; Siyuan Ma; Jiazhao Li; Jinsheng Pan; Xiujun Li; Furong Huang; Lichao Sun 001; Bo Li 026; Yejin Choi 001; Muhao Chen 001; et al. (ICLR, 2025)

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. - Wenjie Jacky Mo; Jiashu Xu; Qin Liu 010; Jiongxiao Wang; Jun Yan 012; Hadi Askari; Chaowei Xiao; Muhao Chen 001 (NAACL (Findings), 2025)

Preference Poisoning Attacks on Reward Model Learning. - Junlin Wu 001; Jiongxiao Wang; Chaowei Xiao; Chenguang Wang; Ning Zhang 017; Yevgeniy Vorobeychik (SP, 2025)

Robust Representation Consistency Model via Contrastive Denoising. - Jiachen Lei; Julius Berner; Jiongxiao Wang; Zhongzhu Chen; Zhongjia Ba; Kui Ren 001; Jun Zhu 001; Anima Anandkumar (CoRR, 2025)