Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection-Reference-Cited by-同舟云学术

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Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection

Published:2020 Issue: Volume: Page:1-1
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Zhao Lingchen,Hu Shengshan,Wang Qian,Jiang Jianlin,Chao Shen,Luo Xiangyang,Hu Pengfei

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09066920.pdf?arnumber=9066920

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3. PSFL: Ensuring Data Privacy and Model Security for Federated Learning;IEEE Internet of Things Journal;2024-08-01

4. Robust and privacy-preserving collaborative training: a comprehensive survey;Artificial Intelligence Review;2024-06-20

5. FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

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