Argus detects backdoors in decentralized learning by local trigger analysis and neighbor similarity checks on consistency, with theoretical convergence guarantees and empirical reductions in attack success up to 90 points.
CRFL: certifiably robust federated learning against backdoor attacks
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Your Neighbors Know: Leveraging Local Neighborhoods for Backdoor Detection in Decentralized Learning
Argus detects backdoors in decentralized learning by local trigger analysis and neighbor similarity checks on consistency, with theoretical convergence guarantees and empirical reductions in attack success up to 90 points.