Jiongxiao Wang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Query Expansion

Language Models For Information Retrieval

Top Venues

Publications

Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik
Preference Poisoning Attacks on Reward Model Learning. CoRR (2024)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. ACL (1) (2024)
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR (2024)
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. CoRR (2024)
Jiachen Sun, Changsheng Wang, Jiongxiao Wang, Yiwei Zhang, Chaowei Xiao
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors. CoRR (2024)
Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. CoRR (2024)
Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification. ICML (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. ICLR (2023)
Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR (2023)
Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. CoRR (2023)
Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao
Adversarial Demonstration Attacks on Large Language Models. CoRR (2023)
Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR (2023)
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
On the Exploitability of Instruction Tuning. NeurIPS (2023)
Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein
On the Exploitability of Instruction Tuning. CoRR (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. CoRR (2023)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR (2023)
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR (2022)
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. CoRR (2022)
Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack. ICML (2022)