| Spatial-phase shallow learning: rethinking face forgery detection in frequency domain H Liu, X Li, W Zhou, Y Chen, Y He, H Xue, W Zhang, N Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 163 | 2021 |
| 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 | 100 | 2020 |
| 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 | 84 | 2022 |
| Qair: Practical query-efficient black-box attacks for image retrieval X Li, J Li, Y Chen, S Ye, Y He, S Wang, H Su, H Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| Beyond imagenet attack: Towards crafting adversarial examples for black-box domains Q Zhang, X Li, Y Chen, J Song, L Gao, Y He, H Xue arXiv preprint arXiv:2201.11528, 2022 | 19 | 2022 |
| Object-oriented anomaly detection in surveillance videos X Li, W Li, B Liu, Q Liu, N Yu 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 14 | 2018 |
| Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective Y Zhu, Y Chen, X Li, K Chen, Y He, X Tian, B Zheng, Y Chen, Q Huang IEEE Transactions on Image Processing 31, 6487-6501, 2022 | 10 | 2022 |
| Boosting Out-of-distribution Detection with Typical Features Y Zhu, YF Chen, C Xie, X Li, R Zhang, H Xue, X Tian, Y Chen arXiv preprint arXiv:2210.04200, 2022 | 5 | 2022 |
| Face Forgery Detection via Symmetric Transformer L Song, X Li, Z Fang, Z Jin, YF Chen, C Xu Proceedings of the 30th ACM International Conference on Multimedia, 4102-4111, 2022 | 4 | 2022 |
| Adaptive Face Forgery Detection in Cross Domain L Song, Z Fang, X Li, X Dong, Z Jin, Y Chen, S Lyu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 3 | 2022 |
| MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Y Jiang, X Li, Y Chen, Y He, Q Xu, Z Yang, X Cao, Q Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 3 | 2022 |
| ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing X Li, Y Chen, Y Zhu, S Wang, R Zhang, H Xue Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems Y Zhu, Y Chen, X Li, R Zhang, X Tian, B Zheng, Y Chen IEEE Transactions on Information Forensics and Security 18, 2046-2059, 2023 | | 2023 |
