| A new polarization image demosaicking algorithm by exploiting inter-channel correlations with guided filtering S Liu, J Chen, Y Xun, X Zhao, CH Chang IEEE Transactions on Image Processing 29, 7076-7089, 2020 | 51 | 2020 |
| A survey on transferability of adversarial examples across deep neural networks J Gu, X Jia, P de Jorge, W Yu, X Liu, A Ma, Y Xun, A Hu, A Khakzar, Z Li, ... arXiv preprint arXiv:2310.17626, 2023 | 34 | 2023 |
| Does few-shot learning suffer from backdoor attacks? X Liu, X Jia, J Gu, Y Xun, S Liang, X Cao Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19893 …, 2024 | 19 | 2024 |
| Unlearning backdoor threats: Enhancing backdoor defense in multimodal contrastive learning via local token unlearning S Liang, K Liu, J Gong, J Liang, Y Xun, EC Chang, X Cao arXiv preprint arXiv:2403.16257, 2024 | 12 | 2024 |
| Universal watermark vaccine: Universal adversarial perturbations for watermark protection J Chen, X Liu, S Liang, X Jia, Y Xun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Multimodal unlearnable examples: Protecting data against multimodal contrastive learning X Liu, X Jia, Y Xun, S Liang, X Cao Proceedings of the 32nd ACM International Conference on Multimedia, 8024-8033, 2024 | 4 | 2024 |
| CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning Y Xun, S Liang, X Jia, X Liu, X Cao arXiv preprint arXiv:2409.17601, 2024 | 4* | 2024 |
| Minimalism is King! High-Frequency Energy-based Screening for Data-Efficient Backdoor Attacks Y Xun, X Jia, J Gu, X Liu, Q Guo, X Cao IEEE Transactions on Information Forensics and Security, 2024 | 1 | 2024 |
