Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

The goal of federated learning (FL) is to train one global model by aggregating model parameters updated independently on edge devices without accessing users' private data. However, FL is susceptible to backdoor attacks where a small fraction of malicious agents inject a targeted misclassifica...

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Hauptverfasser:	Kim, Yein, Chen, Huili, Koushanfar, Farinaz
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Cryptography and Security Computer Science - Learning
Online-Zugang:	Volltext bestellen
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