In a synthetic federated learning setup with 100-SNP genomic data, a gradient-norm membership inference attack reached 0.87 F1-score, outperforming confidence-based membership inference and label inference attacks.
”Label Inference Attacks Against Vertical Federated Learning” 31st USENIX Security Symposium (USENIX Security 22)
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Securing Genomic Data Against Inference Attacks in Federated Learning Environments
In a synthetic federated learning setup with 100-SNP genomic data, a gradient-norm membership inference attack reached 0.87 F1-score, outperforming confidence-based membership inference and label inference attacks.