| Densepure: Understanding diffusion models for adversarial robustness C Xiao, Z Chen, K Jin, J Wang, W Nie, M Liu, A Anandkumar, B Li, D Song The Eleventh International Conference on Learning Representations, 2022 | 37* | 2022 |
| Adversarial demonstration attacks on large language models J Wang, Z Liu, KH Park, M Chen, C Xiao arXiv preprint arXiv:2305.14950, 2023 | 29 | 2023 |
| On the exploitability of instruction tuning M Shu, J Wang, C Zhu, J Geiping, C Xiao, T Goldstein Advances in Neural Information Processing Systems 36, 2024 | 24 | 2024 |
| Conversational Drug Editing Using Retrieval and Domain Feedback S Liu, J Wang, Y Yang, C Wang, L Liu, H Guo, C Xiao The Twelfth International Conference on Learning Representations, 2023 | 23* | 2023 |
| Defending against adversarial audio via diffusion model S Wu, J Wang, W Ping, W Nie, C Xiao arXiv preprint arXiv:2303.01507, 2023 | 16 | 2023 |
| Fast and reliable evaluation of adversarial robustness with minimum-margin attack R Gao, J Wang, K Zhou, F Liu, B Xie, G Niu, B Han, J Cheng International Conference on Machine Learning, 7144-7163, 2022 | 9 | 2022 |
| A critical revisit of adversarial robustness in 3D point cloud recognition with diffusion-driven purification J Sun, J Wang, W Nie, Z Yu, Z Mao, C Xiao International Conference on Machine Learning, 33100-33114, 2023 | 5 | 2023 |
| Test-time backdoor mitigation for black-box large language models with defensive demonstrations W Mo, J Xu, Q Liu, J Wang, J Yan, C Xiao, M Chen arXiv preprint arXiv:2311.09763, 2023 | 3 | 2023 |
| On the exploitability of reinforcement learning with human feedback for large language models J Wang, J Wu, M Chen, Y Vorobeychik, C Xiao arXiv preprint arXiv:2311.09641, 2023 | 3 | 2023 |
| Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment J Wang, J Li, Y Li, X Qi, M Chen, J Hu, Y Li, B Li, C Xiao arXiv preprint arXiv:2402.14968, 2024 | 1 | 2024 |
| Preference Poisoning Attacks on Reward Model Learning J Wu, J Wang, C Xiao, C Wang, N Zhang, Y Vorobeychik arXiv preprint arXiv:2402.01920, 2024 | | 2024 |
