A predictive uncertainty curve framework for membership inference attacks
Membership Inference Attacks (MIAs) pose a notable privacy threat by determining whether specific samples were used to train a target model. Existing approaches primarily rely on static model outputs or computationally expensive shadow models, neglecting the dynamic stability of predictions under input perturbations. W...