Privacy-Preserving Deep Learning: Revisited and Enhanced

Author:

Phong Le Trieu,Aono Yoshinori,Hayashi Takuya,Wang Lihua,Moriai Shiho

Publisher

Springer Singapore

Cited by 80 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Client-Side Gradient Inversion Attack in Federated Learning Using Secure Aggregation;IEEE Internet of Things Journal;2024-09-01

2. ADLG: An Adaptive Deep Leakage from Gradients in Federated Learning;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

3. ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations;2024 IEEE 25th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM);2024-06-04

4. Research Progress on Security and Privacy of Federated Learning: A Survey;Wireless Personal Communications;2024-06

5. Loki: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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