Greetings, I am a graduate student in the Department of Computer Science Engineering (HKUST) under the supervision of Prof. Minhao Cheng and Prof. Nevin L. Zhang. My interest lies broadly in AI safety.

Education

• 2023 - present: Computer Science, HKUST
• 2018 - 2022: B.Eng. in Telecommunication, BUPT & QMUL

Internship

• 2021.10 - 2022.08: Research Intern, SenseTime Research
• 2024.05 - present: Research Intern, Sea AI Lab (hosted by Tianyu Pang and Chao Du)

Publications

* denotes equal contribution

• Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
  Rui Min*, Zeyu Qin*, Nevin L. Zhang, Li Shen, Minhao Cheng, In Advances in Neural Information Processing Systems (NeurIPS), 2024. (Spotlight) [pdf] [code]

• A Watermark-Conditioned Diffusion Model for IP Protection
  Rui Min, Sen Li, Hongyang Chen, Minhao Cheng, In European Conference on Computer Vision (ECCV), 2024. [pdf] [code]

• Towards Stable Backdoor Purification with Feature Shift Tuning
  Rui Min*, Zeyu Qin*, Li Shen, Minhao Cheng, In Advances in Neural Information Processing Systems (NeurIPS), 2023. [pdf] [code]

• Identification of the Adversary from a Single Adversarial Example
  Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen, In International Conference on Machine Learning (ICML), 2023. (A short version appears in NeurIPS Workshop on Machine Learning Safety, 2022) [pdf] [code]

Preprints

• Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
  Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu [arXiv]

Services

• Reviewer: AAAI; ICML; NeurIPS; ICLR