Jiongxiao Wang

According to our database, Jiongxiao Wang authored at least 17 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks.

Jiongxiao Wang, Fangzhou Wu, Wendi Li, Jinsheng Pan, Edward Suh, Z. Morley Mao, Muhao Chen, Chaowei Xiao

CoRR, 2024

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.

Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, 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

Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.

Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao

CoRR, 2024

Preference Poisoning Attacks on Reward Model Learning.

Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik

CoRR, 2024

Conversational Drug Editing Using Retrieval and Domain Feedback.

Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models.

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.

Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen

CoRR, 2023

On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models.

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao

CoRR, 2023

ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback.

Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao

CoRR, 2023

Adversarial Demonstration Attacks on Large Language Models.

Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao

CoRR, 2023

On the Exploitability of Instruction Tuning.

Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Chaowei Xiao

Proceedings of the International Conference on Machine Learning, 2023

DensePure: Understanding Diffusion Models for Adversarial Robustness.

Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Defending against Adversarial Audio via Diffusion Model.

Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness.

Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

CoRR, 2022

Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.

Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng

Proceedings of the International Conference on Machine Learning, 2022