Gustavo de Carvalho Bertoli
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126
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Crypto×1ML×1
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2026
Evaluating Differential Privacy Against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge
This paper empirically evaluates the effectiveness of Differential Privacy (DP) against Membership Inference Attacks (MIAs) in Federated Learning, demonstrating that a stacking attack strategy can detect measurable membership leakage even in moderately private settings.
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