Chihan Huang
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126
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ML×1Crypto×1
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2026
ReproMIA: A Comprehensive Analysis of Model Reprogramming for Proactive Membership Inference Attacks
The paper introduces ReproMIA, a novel and efficient framework that uses model reprogramming to proactively amplify and detect latent privacy leakage for Membership Inference Attacks (MIAs), significantly outperforming state-of-the-art methods, especially in low False Positive Rate regimes.
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