| Stability analysis and generalization bounds of adversarial training J Xiao, Y Fan, R Sun, J Wang, ZQ Luo Advances in Neural Information Processing Systems 35, 15446-15459, 2022 | 19 | 2022 |
| Adversarial rademacher complexity of deep neural networks J Xiao, Y Fan, R Sun, ZQ Luo arXiv preprint arXiv:2211.14966, 2022 | 14 | 2022 |
| Understanding Adversarial Robustness Against On-manifold Adversarial Examples J Xiao, L Yang, Y Fan, J Wang, ZQ Luo arXiv preprint arXiv:2210.00430, 2022 | 9* | 2022 |
| Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis J Xiao, Z Qin, Y Fan, B Wu, J Wang, ZQ Luo arXiv preprint arXiv:2210.00557, 2022 | 5 | 2022 |
| Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization J Xiao, J Zhang, ZQ Luo, AE Ozdaglar NeurIPS 2022 ML Safety Workshop, 2022 | 4 | 2022 |
| PAC-bayesian spectrally-normalized bounds for adversarially robust generalization J Xiao, R Sun, ZQ Luo Advances in Neural Information Processing Systems 36, 36305-36323, 2023 | 3 | 2023 |
| Pac-bayesian adversarially robust generalization bounds for deep neural networks J Xiao, R Sun, ZQ Luo The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | 2 | 2023 |
| Improving Adversarial Training for Multiple Perturbations through the Lens of Uniform Stability J Xiao, Z Qin, Y Fan, B Wu, J Wang, ZQ Luo The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | 1 | 2023 |
| Uniformly Stable Algorithms for Adversarial Training and Beyond J Xiao, J Zhang, ZQ Luo, A Ozdaglar ICML 2024, 2024 | | 2024 |
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
