| Physical-world optical adversarial attacks on 3d face recognition Y Li, Y Li, X Dai, S Guo, B Xiao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 33 | 2023 |
| A survey of robustness and safety of 2d and 3d deep learning models against adversarial attacks Y Li, B Xie, S Guo, Y Yang, B Xiao ACM Computing Surveys 56 (6), 1-37, 2024 | 12 | 2024 |
| Power-based non-intrusive condition monitoring for terminal device in smart grid G Zhang, X Ji, Y Li, W Xu Sensors 20 (13), 3635, 2020 | 8 | 2020 |
| Using power side-channel to implement anomaly-based intrusion detection on smart grid terminals Y Li, R He, X Ji, W Xu 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration …, 2019 | 6 | 2019 |
| A Physical-World Adversarial Attack Against 3D Face Recognition Y Li, Y Li, B Xiao CVPR2023, 2022 | 3 | 2022 |
| Generating unrestricted 3D adversarial point clouds X Dai, Y Li, H Dai, B Xiao arXiv preprint arXiv:2111.08973, 2021 | 2 | 2021 |
| Adv-Inpainting: Generating Natural and Transferable Adversarial Patch via Attention-guided Feature Fusion. Y Li, M Duan, B Xiao CoRR, 2023 | | 2023 |
