| Benchmarking adversarial robustness on image classification Y Dong, QA Fu, X Yang, T Pang, H Su, Z Xiao, J Zhu proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 276 | 2020 |
| Black-box detection of backdoor attacks with limited information and data Y Dong, X Yang, Z Deng, T Pang, Z Xiao, H Su, J Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 93 | 2021 |
| Improving transferability of adversarial patches on face recognition with generative models Z Xiao, X Gao, C Fu, Y Dong, W Gao, X Zhang, J Zhou, J Zhu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 90 | 2021 |
| Controllable evaluation and generation of physical adversarial patch on face recognition X Yang, Y Dong, T Pang, Z Xiao, H Su, J Zhu arXiv preprint arXiv:2203.04623, 2022 | 5 | 2022 |
| Boosting the adversarial transferability of surrogate models with dark knowledge D Yang, Z Xiao, W Yu 2023 IEEE 35th International Conference on Tools with Artificial …, 2023 | 4 | 2023 |
| Self-Supervised Transformer with Domain Adaptive Reconstruction for General Face Forgery Video Detection D Zhang, Z Xiao, J Li, S Ge arXiv preprint arXiv:2309.04795, 2023 | 1 | 2023 |
| Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model D Yang, W Yu, Z Xiao, J Luo 2023 International Joint Conference on Neural Networks (IJCNN), 01-08, 2023 | | 2023 |
| Towards training probabilistic topic models on neuromorphic multi-chip systems Z Xiao, J Chen, J Zhu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | | 2018 |
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
