| Universal adversarial attack on attention and the resulting dataset damagenet S Chen, Z He, C Sun, J Yang, X Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2188-2197, 2020 | 99 | 2020 |
| DAmageNet: a universal adversarial dataset S Chen, X Huang, Z He, C Sun arXiv preprint arXiv:1912.07160, 2019 | 13 | 2019 |
| Investigating catastrophic overfitting in fast adversarial training: a self-fitting perspective Z He, T Li, S Chen, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Friendly sharpness-aware minimization T Li, P Zhou, Z He, X Cheng, X Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Towards Natural Machine Unlearning Z He, T Li, X Cheng, Z Huang, X Huang arXiv preprint arXiv:2405.15495, 2024 | 1 | 2024 |
| Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Y Wu, R Yu, X Cheng, Z He, X Huang arXiv preprint arXiv:2405.17816, 2024 | | 2024 |
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
