Membership inference attack and defense method in federated learning based on GAN

Membership inference attack and defense method in federated learning based on GAN

Aiming at the problem that the federated learning system was extremely vulnerable to membership inference attacks initiated by malicious parties in the prediction stage, and the existing defense methods were difficult to achieve a balance between privacy protection and model loss.Membership inferenc...

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Bibliographic Details
Main Authors: Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2023-05-01
Series:Tongxin xuebao
Subjects:
federated learning
membership inference attack
generative adversarial network
adversarial example
privacy leakage
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023094/
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