Backdoor defense method in federated learning based on contrastive training

Backdoor defense method in federated learning based on contrastive training

In response to the inadequacy of existing defense methods for backdoor attacks in federated learning to effectively remove embedded backdoor features from models, while simultaneously reducing the accuracy of the primary task, a federated learning backdoor defense method called ContraFL was proposed...

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Bibliographic Details
Main Authors: Jiale ZHANG, Chengcheng ZHU, Xiang CHENG, Xiaobing SUN, Bing CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-03-01
Series:Tongxin xuebao
Subjects:
federated learning
backdoor attack
contrastive training
trigger
backdoor defense
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024063/
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