FLARE: A Backdoor Attack to Federated Learning with Refined Evasion

FLARE: A Backdoor Attack to Federated Learning with Refined Evasion

Federated Learning (FL) is vulnerable to backdoor attacks in which attackers inject malicious behaviors into the global model. To counter these attacks, existing works mainly introduce sophisticated defenses by analyzing model parameters and utilizing robust aggregation strategies. However, we find...

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Bibliographic Details
Main Authors: Qingya Wang, Yi Wu, Haojun Xuan, Huishu Wu
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
federated learning
backdoor attacks
trigger inspection
poisoning rate
Online Access:https://www.mdpi.com/2227-7390/12/23/3751
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https://www.mdpi.com/2227-7390/12/23/3751

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