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
62 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
Advances in Neural Information Processing Systems 35, 20758-20769, 2022
53 2022 Rethinking adversarial transferability from a data distribution perspective Y Zhu, J Sun, Z Li
International Conference on Learning Representations, 2021
45 2021 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
38 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
27 2023 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
23 2021 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
19 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
18 2023 ZooPFL: Exploring black-box foundation models for personalized federated learning W Lu, H Yu, J Wang, D Teney, H Wang, Y Chen, Q Yang, X Xie, X Ji
arXiv preprint arXiv:2310.05143, 2023
9 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
International Journal of Computer Vision, 2022
8 2022 Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application C Yang, Y Zhu, W Lu, Y Wang, Q Chen, C Gao, B Yan, Y Chen
ACM Transactions on Intelligent Systems and Technology, 2024
6 2024 Enhancing few-shot clip with semantic-aware fine-tuning Y Zhu, Y Chen, X Mao, X Yan, Y Wang, W Lu, J Wang, X Ji
IEEE Transactions on Neural Networks and Learning Systems, 2024
4 2024 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
4 2023 Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective Y Zhu, X Yan, C Xie
International Journal of Computer Vision, 1-19, 2025
2025 An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques C Li, X Wang, B Miao, C Xie, Z Wang, Y Zhu
Accepted by the Association for the Advancement of Artificial Intelligence …, 2024
2024 Unleashing the Potential of Large Language Models through Spectral Modulation P Sun, Y Zhu, Y Zhang, X Yan, Z Wang, X Ji
Findings of the Association for Computational Linguistics: EMNLP 2024, 3892-3911, 2024
2024 Inequality phenomenon in R Duan, YF Chen, Y Zhu, X Jia, R Zhang
The Eleventh International Conference on Learning Representations, 0
