| Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing Y Xiao, A Liu, T Li, X Liu ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on …, 2023 | 10 | 2023 |
| 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 |
| Pre-trained trojan attacks for visual recognition A Liu, X Zhang, Y Xiao, Y Zhou, S Liang, J Wang, X Liu, X Cao, D Tao arXiv preprint arXiv:2312.15172, 2023 | 6 | 2023 |
| RobustMQ: benchmarking robustness of quantized models Y Xiao, A Liu, T Zhang, H Qin, J Guo, X Liu Visual Intelligence 1 (1), 30, 2023 | 6 | 2023 |
| Benchmarking the physical-world adversarial robustness of vehicle detection T Zhang, Y Xiao, X Zhang, H Li, L Wang arXiv preprint arXiv:2304.05098, 2023 | 5 | 2023 |
| Benchmarking the robustness of quantized models Y Xiao, T Zhang, S Liu, H Qin arXiv preprint arXiv:2304.03968, 2023 | 3 | 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 | 2 | 2023 |
| Boosting Cross-task Transferability of Adversarial Patches with Visual Relations T Ma, S Li, Y Xiao, S Liu arXiv preprint arXiv:2304.05402, 2023 | 1 | 2023 |
| LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions T Zhang, L Wang, H Li, Y Xiao, S Liang, A Liu, X Liu, D Tao arXiv preprint arXiv:2406.00934, 2024 | | 2024 |
| Improving Deepfake Detection Generalization by Invariant Risk Minimization Z Yin, J Wang, Y Xiao, H Zhao, T Li, W Zhou, A Liu, X Liu IEEE Transactions on Multimedia, 2024 | | 2024 |
