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2020 – today
- 2024
[j3]Yuan Xun
, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao:
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4560-4571 (2024)- [j2]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr:
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c3]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024: 19893-19901 - [c2]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. ACM Multimedia 2024: 8024-8033 - [i5]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR abs/2401.01377 (2024) - [i4]Siyuan Liang, Kuanrong Liu, Jiajun Gong, Jiawei Liang, Yuan Xun, Ee-Chien Chang, Xiaochun Cao:
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning. CoRR abs/2403.16257 (2024) - [i3]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR abs/2407.16307 (2024) - [i2]Yuan Xun, Siyuan Liang, Xiaojun Jia, Xinwei Liu, Xiaochun Cao:
CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning. CoRR abs/2409.17601 (2024) - 2023
- [c1]Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun:
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection. CVPR Workshops 2023: 2322-2329 - [i1]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr:
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR abs/2310.17626 (2023) - 2020
- [j1]ShuMin Liu, Jiajia Chen, Yuan Xun, Xiaojin Zhao, Chip-Hong Chang:
A New Polarization Image Demosaicking Algorithm by Exploiting Inter-Channel Correlations With Guided Filtering. IEEE Trans. Image Process. 29: 7076-7089 (2020)
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