Hierarchical bilinear pooling for fine-grained visual recognition C Yu, X Zhao, Q Zheng, P Zhang, X You Proceedings of the European conference on computer vision (ECCV), 574-589, 2018 | 363 | 2018 |
Understanding robust overfitting of adversarial training and beyond C Yu, B Han, L Shen, J Yu, C Gong, M Gong, T Liu International Conference on Machine Learning, 25595-25610, 2022 | 55 | 2022 |
Robust weight perturbation for adversarial training C Yu, B Han, M Gong, L Shen, S Ge, B Du, T Liu arXiv preprint arXiv:2205.14826, 2022 | 18 | 2022 |
Eliminating catastrophic overfitting via abnormal adversarial examples regularization R Lin, C Yu, T Liu Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting R Lin, C Yu, B Han, T Liu arXiv preprint arXiv:2310.08847, 2023 | 4 | 2023 |
Strength-adaptive adversarial training C Yu, D Zhou, L Shen, J Yu, B Han, M Gong, N Wang, T Liu arXiv preprint arXiv:2210.01288, 2022 | 2 | 2022 |
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency R Lin, C Yu, B Han, H Su, T Liu arXiv preprint arXiv:2405.16262, 2024 | | 2024 |
On the Onset of Robust Overfitting in Adversarial Training C Yu, X Shi, J Yu, B Han, T Liu arXiv preprint arXiv:2310.00607, 2023 | | 2023 |
On Intriguing Layer-Wise Properties of Robust Overfitting in Adversarial Training D Nguyen, C Yu, V Nandakumar, Y Lee, T Liu | | 2023 |