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
Published in:	Journal of King Saud University: Computer and Information Sciences
Main Authors:	Qikun Zhang, Mengyang Yu, Ruifang Wang, Yongjiao Li, Junling Yuan, Yu-an Tan
Format:	Article
Language:	English
Published:	Springer 2025-07-01
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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