| Towards robust vision transformer X Mao, G Qi, Y Chen, X Li, R Duan, S Ye, Y He, H Xue Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022 | 181 | 2022 |
| Sharp multiple instance learning for deepfake video detection X Li, Y Lang, Y Chen, X Mao, Y He, S Wang, H Xue, Q Lu Proceedings of the 28th ACM international conference on multimedia, 1864-1872, 2020 | 175 | 2020 |
| Adversarial laser beam: Effective physical-world attack to dnns in a blink R Duan, X Mao, AK Qin, Y Chen, S Ye, Y He, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 126 | 2021 |
| Composite Adversarial Attacks X Mao, Y Chen, S Wang, H Su, Y He, H Xue Proceedings of the AAAI Conference on Artificial Intelligence 35, 8884-8892, 2021 | 52 | 2021 |
| Semantic invariant cross-domain image generation with generative adversarial networks X Mao, S Wang, L Zheng, Q Huang Neurocomputing 293, 55-63, 2018 | 45 | 2018 |
| Enhance the visual representation via discrete adversarial training X Mao, Y Chen, R Duan, Y Zhu, G Qi, X Li, R Zhang, H Xue Advances in Neural Information Processing Systems 35, 7520-7533, 2022 | 35 | 2022 |
| Fine-grained fashion similarity prediction by attribute-specific embedding learning J Dong, Z Ma, X Mao, X Yang, Y He, R Hong, S Ji IEEE Transactions on Image Processing 30, 8410-8425, 2021 | 34 | 2021 |
| Bilinear representation for language-based image editing using conditional generative adversarial networks X Mao, Y Chen, Y Li, T Xiong, Y He, H Xue ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 2019 |
| Rethinking the design principles of robust vision transformer X Mao, G Qi, Y Chen, X Li, S Ye, Y He, H Xue arXiv preprint arXiv:2105.07926 9, 2021 | 23 | 2021 |
| Self-supervised adversarial training K Chen, Y Chen, H Zhou, X Mao, Y Li, Y He, H Xue, W Zhang, N Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| Multi-level alignment network for domain adaptive cross-modal retrieval J Dong, Z Long, X Mao, C Lin, Y He, S Ji Neurocomputing 440, 207-219, 2021 | 21 | 2021 |
| D^ 2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention J Lin, X Mao, Y Chen, L Xu, Y He, H Xue arXiv preprint arXiv:2203.00860, 2022 | 18 | 2022 |
| Gap++: Learning to generate target-conditioned adversarial examples X Mao, Y Chen, Y Li, Y He, H Xue arXiv preprint arXiv:2006.05097, 2020 | 15 | 2020 |
| Context-aware robust fine-tuning X Mao, Y Chen, X Jia, R Zhang, H Xue, Z Li International Journal of Computer Vision 132 (5), 1685-1700, 2024 | 13 | 2024 |
| Adversarial examples detection beyond image space K Chen, Y Chen, H Zhou, C Qin, X Mao, W Zhang, N Yu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| Learning to characterize adversarial subspaces X Mao, Y Chen, Y Li, Y He, H Xue ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Coco-o: A benchmark for object detectors under natural distribution shifts X Mao, Y Chen, Y Zhu, D Chen, H Su, R Zhang, H Xue Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Feature fusion based adversarial example detection against second-round adversarial attacks C Qin, Y Chen, K Chen, X Dong, W Zhang, X Mao, Y He, N Yu IEEE Transactions on Artificial Intelligence 4 (5), 1029-1040, 2022 | 9 | 2022 |
| Unrestricted adversarial attacks on imagenet competition Y Chen, X Mao, Y He, H Xue, C Li, Y Dong, QA Fu, X Yang, W Xiang, ... arXiv preprint arXiv:2110.09903, 2021 | 8 | 2021 |
| Revisiting and exploring efficient fast adversarial training via law: Lipschitz regularization and auto weight averaging X Jia, Y Chen, X Mao, R Duan, J Gu, R Zhang, H Xue, Y Liu, X Cao IEEE Transactions on Information Forensics and Security, 2024 | 6 | 2024 |
