| 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 | 38 | 2022 |
| Rethinking adversarial transferability from a data distribution perspective Y Zhu, J Sun, Z Li International Conference on Learning Representations, 2021 | 33 | 2021 |
| Boosting out-of-distribution detection with typical features Y Zhu, YF Chen, C Xie, X Li, R Zhang, H Xue, X Tian, Y Chen Advances in Neural Information Processing Systems 35, 20758-20769, 2022 | 27 | 2022 |
| 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 | 24 | 2022 |
| Towards understanding the generative capability of adversarially robust classifiers Y Zhu, J Ma, J Sun, Z Chen, R Jiang, Y Chen, Z Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 20 | 2021 |
| 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 | 11 | 2023 |
| 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 | 6 | 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 | 4 | 2023 |
| Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Y Zhu, Y Chen, X Li, R Zhang, H Xue, X Tian, R Jiang, B Zheng, Y Chen arXiv preprint arXiv:2211.16778, 2022 | 3 | 2022 |
| Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations G Qi, Y Chen, Y Zhu, B Hui, X Li, X Mao, R Zhang, H Xue ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning Y Zhu, Y Chen, W Wang, X Mao, Y Wang, Z Li, J Wang, X Ji arXiv preprint arXiv:2311.04464, 2023 | | 2023 |
| Inequality phenomenon in -adversarial training, and its unrealized threats R Duan, YF Chen, Y Zhu, X Jia, R Zhang The Eleventh International Conference on Learning Representations, 2022 | | 2022 |
