| Pointcrt: Detecting backdoor in 3d point cloud via corruption robustness S Hu, W Liu, M Li, Y Zhang, X Liu, X Wang, LY Zhang, J Hou Proceedings of the 31st ACM International Conference on Multimedia, 666-675, 2023 | 17 | 2023 |
| Pointca: Evaluating the robustness of 3d point cloud completion models against adversarial examples S Hu, J Zhang, W Liu, J Hou, M Li, LY Zhang, H Jin, L Sun Proceedings of the AAAI conference on artificial intelligence 37 (1), 872-880, 2023 | 11 | 2023 |
| Securely fine-tuning pre-trained encoders against adversarial examples Z Zhou, M Li, W Liu, S Hu, Y Zhang, W Wan, L Xue, LY Zhang, D Yao, ... 2024 IEEE Symposium on Security and Privacy (SP), 3015-3033, 2024 | 10 | 2024 |
| Unlearnable 3D point clouds: Class-wise transformation is all you need X Wang, M Li, W Liu, H Zhang, S Hu, Y Zhang, Z Zhou, H Jin Advances in Neural Information Processing Systems 37, 99404-99432, 2025 | 7 | 2025 |
| PointAPA: Towards availability poisoning attacks in 3D point clouds X Wang, M Li, P Xu, W Liu, LY Zhang, S Hu, Y Zhang European Symposium on Research in Computer Security, 125-145, 2024 | 4 | 2024 |
