BoBa uses data distribution inference and overlapping clustering with voting to detect backdoor attacks in non-IID federated learning, claiming attack success rates below 0.001.
Privacy inference-empowered stealthy backdoor attack on federated learning under non-iid scenarios
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BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning
BoBa uses data distribution inference and overlapping clustering with voting to detect backdoor attacks in non-IID federated learning, claiming attack success rates below 0.001.