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Membership Inference Attacks with False Discovery Rate Control arXiv:2508.07066v1 Announce Type: new Abstract: Recent studies have shown that deep learning models are vulnerable to membership inference attacks (MIAs), which aim to infer whether a data record was used to train a target model or not. To analyze and study these vulnerabilities, various MIA methods have…