| Internal wasserstein distance for adversarial attack and defense Q Wang, S Zhang, J Cao, J Li, M Tan, Y Xiang arXiv preprint arXiv:2103.07598, 2021 | 10 | 2021 |
| Learning defense transformations for counterattacking adversarial examples J Li, S Zhang, J Cao, M Tan Neural Networks 164, 177-185, 2023 | 9 | 2023 |
| Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score S Zhang, F Liu, J Yang, Y Yang, C Li, B Han, M Tan ICML2023, 2023 | 7 | 2023 |
| Cross-ray neural radiance fields for novel-view synthesis from unconstrained image collections Y Yang, S Zhang, Z Huang, Y Zhang, M Tan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Generative Data Free Model Quantization with Knowledge Matching for Classification S Xu, S Zhang, J Liu, B Zhuang, Y Wang, M Tan IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| 深度对抗视觉生成综述 谭明奎， 许守恺， 张书海， 陈奇 中国图象图形学报, 2021 | 2 | 2021 |
| Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy S Zhang, Y Song, J Yang, Y Li, B Han, M Tan The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
