| X-adv: Physical adversarial object attacks against x-ray prohibited item detection A Liu, J Guo, J Wang, S Liang, R Tao, W Zhou, C Liu, X Liu, D Tao USENIX Security 2023, 2023 | 75 | 2023 |
| A Comprehensive Evaluation Framework for Deep Model Robustness J Guo, W Bao, J Wang, Y Ma, X Gao, G Xiao, A Liu, J Dong, X Liu, W Wu Pattern Recognition, 2023, 2023 | 61 | 2023 |
| Towards comprehensive testing on the robustness of cooperative multi-agent reinforcement learning J Guo, Y Chen, Y Hao, Z Yin, Y Yu, S Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 42 | 2022 |
| Attacking cooperative multi-agent reinforcement learning by adversarial minority influence S Li, J Guo, J Xiu, Y Zheng, P Feng, X Yu, A Liu, Y Yang, B An, W Wu, ... arXiv preprint arXiv:2302.03322, 2023 | 18 | 2023 |
| Isolation and induction: Training robust deep neural networks against model stealing attacks J Guo, X Zheng, A Liu, S Liang, Y Xiao, Y Wu, X Liu Proceedings of the 31st ACM International Conference on Multimedia, 4178-4189, 2023 | 14 | 2023 |
| Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game S Li, J Guo, J Xiu, X Yu, J Wang, A Liu, Y Yang, X Liu ICLR 2024, 2023 | 10 | 2023 |
| Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting J Guo, X Ma, Y Fan, H Liu, Q Li arXiv preprint arXiv:2403.15624, 2024 | 8 | 2024 |
| Improving generalization of deepfake detection with domain adaptive batch normalization Z Yin, J Wang, Y Ding, Y Xiao, J Guo, R Tao, H Qin Proceedings of the 1st International Workshop on Adversarial Learning for …, 2021 | 7 | 2021 |
| MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization S Li, R Xu, J Guo, P Feng, J Wang, A Liu, Y Yang, X Liu, W Lv arXiv preprint arXiv:2310.09833, 2023 | 2 | 2023 |
Xianglong Liu (刘祥龙）Beihang UniversityEmail verificata su buaa.edu.cn