AIBearisharXiv – CS AI · 7h ago7/10
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How does Bayesian Sampling help Membership Inference Attacks?
Researchers propose Bayesian Membership Inference Attacks (BMIA), a novel method that uses Bayesian sampling and Laplace approximation to detect whether specific data points were used in model training. The approach significantly reduces computational overhead compared to existing methods while achieving state-of-the-art attack performance across image, text, and tabular datasets.