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Journal Articles
- 2022
[j1]Sizhe Chen
, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2188-2197 (2022)
Conference and Workshop Papers
- 2024
- [c2]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CVPR 2024: 5631-5640 - 2023
- [c1]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CVPR Workshops 2023: 2314-2321
Informal and Other Publications
- 2024
- [i8]Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang:
Friendly Sharpness-Aware Minimization. CoRR abs/2403.12350 (2024) - [i7]Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Towards Natural Machine Unlearning. CoRR abs/2405.15495 (2024) - [i6]Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang:
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection. CoRR abs/2405.17816 (2024) - [i5]Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang:
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape. CoRR abs/2409.14396 (2024) - [i4]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. CoRR abs/2409.19732 (2024) - 2023
- [i3]Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang:
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective. CoRR abs/2302.11963 (2023) - 2020
- [i2]Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang:
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet. CoRR abs/2001.06325 (2020) - 2019
- [i1]Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun:
DAmageNet: A Universal Adversarial Dataset. CoRR abs/1912.07160 (2019)
Coauthor Index
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