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Jiongxiao Wang
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2020 – today
- 2024
- [c7]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: 2551-2570 - [c6]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR 2024 - [i12]Junlin Wu, Jiongxiao Wang, Chaowei Xiao, Chenguang Wang, Ning Zhang, Yevgeniy Vorobeychik:
Preference Poisoning Attacks on Reward Model Learning. CoRR abs/2402.01920 (2024) - [i11]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 abs/2402.14968 (2024) - [i10]Jiachen Sun, Changsheng Wang, Jiongxiao Wang, Yiwei Zhang, Chaowei Xiao:
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors. CoRR abs/2405.10529 (2024) - [i9]Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao:
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. CoRR abs/2407.00623 (2024) - 2023
- [c5]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. ICLR 2023 - [c4]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 - [c3]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: 33100-33114 - [c2]Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein:
On the Exploitability of Instruction Tuning. NeurIPS 2023 - [i8]Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao:
Defending against Adversarial Audio via Diffusion Model. CoRR abs/2303.01507 (2023) - [i7]Jiongxiao Wang, Zichen Liu, Keun Hee Park, Muhao Chen, Chaowei Xiao:
Adversarial Demonstration Attacks on Large Language Models. CoRR abs/2305.14950 (2023) - [i6]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 abs/2305.18090 (2023) - [i5]Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein:
On the Exploitability of Instruction Tuning. CoRR abs/2306.17194 (2023) - [i4]Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao:
On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. CoRR abs/2311.09641 (2023) - [i3]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 abs/2311.09763 (2023) - 2022
- [c1]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: 7144-7163 - [i2]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 abs/2206.07314 (2022) - [i1]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 abs/2211.00322 (2022)
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