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ORCIDXiaoFeng Wang 0001
- > Home > Persons > XiaoFeng Wang 0001
Publications
- 2024
[c160]Xiaoyi Chen
, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, Zhikun Zhang, Xiaofeng Wang, Haixu Tang:
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. CCS 2024: 1285-1299- [c154]Rui Zhu, Di Tang, Siyuan Tang, Zihao Wang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang:
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. NDSS 2024 - [c148]Zihao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, John Mitchell, Haixu Tang, XiaoFeng Wang:
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training. USENIX Security Symposium 2024 - [i41]Zihao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, John Mitchell, Haixu Tang, Xiaofeng Wang:
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training. CoRR abs/2403.02571 (2024) - 2023
- [c142]Rui Zhu, Di Tang, Siyuan Tang, Xiaofeng Wang, Haixu Tang:
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models. SP 2023: 1-19 - [i33]Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang:
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering. CoRR abs/2301.12318 (2023) - [i29]Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, Zihao Wang, Liya Su, XiaoFeng Wang, Haixu Tang:
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks. CoRR abs/2310.15469 (2023) - 2022
- [i25]Di Tang, Rui Zhu, XiaoFeng Wang, Haixu Tang, Yi Chen:
Understanding Impacts of Task Similarity on Backdoor Attack and Detection. CoRR abs/2210.06509 (2022) - [i23]Rui Zhu, Di Tang, Siyuan Tang, XiaoFeng Wang, Haixu Tang:
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models. CoRR abs/2212.04687 (2022) - 2020
- [j20]Rui Zhu, Chao Jiang, Xiaofeng Wang, Shuang Wang, Hao Zheng, Haixu Tang:
Privacy-preserving construction of generalized linear mixed model for biomedical computation. Bioinform. 36(Supplement-1): i128-i135 (2020)
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