A sparse and invisible targeted backdoor attack in federated learning

A sparse and invisible targeted backdoor attack in federated learning

Abstract In distributed edge Computing scenarios within the Internet of Things (IoT), individual clients are susceptible to adversarial backdoor attacks, wherein malicious modifications to local data may be introduced. Such compromised clients can negatively impact the integrity and performance of t...

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Bibliographic Details
Main Authors: Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Internet of things
Federated learning
Backdoor attack
Invisibility
Security
Online Access:https://doi.org/10.1007/s44443-025-00146-8
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https://doi.org/10.1007/s44443-025-00146-8

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