Jiongxiao Wang

29 papers A* 11Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
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	A*	`conf`	Preference Poisoning Attacks on Reward Model Learning. SP Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik
2025	J	`jnl`	Reinforcement Learning for Self-Improving Agent with Skill Library. CoRR Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong
2025	A*	`conf`	Robust Representation Consistency Model via Contrastive Denoising. ICLR Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2025	J	`jnl`	Robust Representation Consistency Model via Contrastive Denoising. CoRR Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Zhongjia Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2025	—	`conf`	Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. NAACL (Findings) Wenjie Jacky Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Hadi Askari, Chaowei Xiao, Muhao Chen
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	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`	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`	Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
2024	J	`jnl`	FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks. CoRR Jiongxiao Wang, Fangzhou Wu, Wendi Li, Jinsheng Pan, G. Edward Suh, Z. Morley Mao, Muhao Chen, Chaowei Xiao
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`	Preference Poisoning Attacks on Reward Model Learning. CoRR Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik
2024	—	`conf`	RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. ACL (1) Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
2024	J	`jnl`	Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors. CoRR Jiachen Sun, Changsheng Wang, Jiongxiao Wang, Yiwei Zhang, Chaowei Xiao
2023	A*	`conf`	A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. ICML Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao
2023	J	`jnl`	Adversarial Demonstration Attacks on Large Language Models. CoRR Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao
2023	J	`jnl`	ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
2023	A*	`conf`	Defending against Adversarial Audio via Diffusion Model. ICLR Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
2023	J	`jnl`	Defending against Adversarial Audio via Diffusion Model. CoRR Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
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`	On the Exploitability of Instruction Tuning. NeurIPS Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
2023	J	`jnl`	On the Exploitability of Instruction Tuning. CoRR Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
2023	J	`jnl`	On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
2023	J	`jnl`	Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. CoRR Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen
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	A*	`conf`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
2022	J	`jnl`	Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng