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Journal Articles
- 2023
[j2]Yinghua Gao, Yiming Li
, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia:
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139: 109512 (2023)- 2022
- [j1]Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu:
A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients. IEEE Internet Things J. 9(13): 11500-11512 (2022)
Conference and Workshop Papers
- 2022
- [c3]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. AAAI 2022: 1464-1472 - [c2]Linghui Zhu, Li Ma, Xingmei Li:
Iterative Semi-Supervised Manifold Alignment For Hyperspectral Image Classification. WHISPERS 2022: 1-5 - 2021
- [c1]Xinyi Liu, Linghui Zhu, Shu-Tao Xia, Yong Jiang, Xue Yang:
GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning. GLOBECOM 2021: 1-6
Informal and Other Publications
- 2022
- [i2]Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR abs/2208.02820 (2022) - 2021
- [i1]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. CoRR abs/2112.03476 (2021)
Coauthor Index
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