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2020 – today
- 2024
[j3]Zekai Chen
, Shengxing Yu, Mingyuan Fan, Ximeng Liu, Robert H. Deng:
Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data. IEEE Trans. Inf. Forensics Secur. 19: 693-707 (2024)- [j2]Zekai Chen, Shengxing Yu, Farong Chen, Fuyi Wang, Ximeng Liu, Robert H. Deng:
Lightweight Privacy-Preserving Cross-Cluster Federated Learning With Heterogeneous Data. IEEE Trans. Inf. Forensics Secur. 19: 7404-7419 (2024) - 2023
- [c3]Zekai Chen, Fuyi Wang, Shengxing Yu, Ximeng Liu, Zhiwei Zheng:
FedCML: Federated Clustering Mutual Learning with non-IID Data. Euro-Par 2023: 623-636 - 2022
- [j1]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Li Wang, Ximeng Liu:
Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices. IEEE Internet Things J. 9(18): 17002-17013 (2022) - [c2]Xinying Liao, Jiaye Xue, Shengxing Yu, Ximeng Liu, Jiangang Shu:
SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference. ICASSP 2022: 3004-3008 - [c1]Mingyuan Fan, Yang Liu, Cen Chen, Shengxing Yu, Wenzhong Guo, Ximeng Liu:
Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack. ICASSP 2022: 3293-3297 - [i1]Mingyuan Fan, Wenzhong Guo, Shengxing Yu, Zuobin Ying, Ximeng Liu:
Enhance transferability of adversarial examples with model architecture. CoRR abs/2202.13625 (2022)
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