| Random Noise Defense Against Query-Based Black-Box Attacks Z Qin, Y Fan, H Zha, B Wu 35th Conference on Advances in Neural Information Processing Systems …, 2021 | 50 | 2021 |
| Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Z Qin, Y Fan, Y Liu, L Shen, Y Zhang, J Wang, B Wu 36th Conference on Advances in Neural Information Processing Systems …, 2022 | 46 | 2022 |
| Beyond factuality: A comprehensive evaluation of large language models as knowledge generators L Chen, Y Deng, Y Bian, Z Qin, B Wu, TS Chua, KF Wong arXiv preprint arXiv:2310.07289, 2023 | 13 | 2023 |
| Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 12 | 2023 |
| Towards Stable Backdoor Purification through Feature Shift Tuning R Min, Z Qin, L Shen, M Cheng 37th Conference on Advances in Neural Information Processing Systems …, 2023 | 5 | 2023 |
| 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 | 4 | 2022 |
| Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping H Wang, G Ma, Z Meng, Z Qin, L Shen, Z Zhang, B Wu, L Liu, Y Bian, T Xu, ... arXiv preprint arXiv:2402.07610, 2024 | 3 | 2024 |
| 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 |
| Imitation Learning from Imperfection: Theoretical Justifications and Algorithms Z Li, T Xu, Z Qin, Y Yu, ZQ Luo Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Class-wise Visual Explanations for Deep Neural Networks M Cheng, Z Qin | | 2022 |
Baoyuan WuAssociate Professor, CUHK-SZVerified email at cuhk.edu.cn
