BaFFLe: Backdoor Detection via Feedback-based Federated Learning

Recent studies have shown that federated learning (FL) is vulnerable to poisoning attacks that inject a backdoor into the global model. These attacks are effective even when performed by a single client, and undetectable by most existing defensive techniques. In this paper, we propose Backdoor detec...

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Bibliographic Details

Published in:	Proceedings of the International Conference on Distributed Computing Systems pp. 852 - 863
Main Authors:	Andreina, Sebastien, Marson, Giorgia Azzurra, Mollering, Helen, Karame, Ghassan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2021
Subjects:	Adaptation models backdoor attacks Collaborative work Computational modeling Conferences Data models federated learning Feedback loop security Training
ISSN:	2575-8411
Online Access:	Get full text
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