Fuzhong Li

Meta-Learning-Based Few-Shot Membership Inference Attacks Under Restricted Black-Box Access to Ranked Top-K Probabilities

Membership inference attacks (MIAs) determine whether a sample was used to train a target model. Existing attacks often require abundant auxiliary data or many reference models, which may be unavailable in restricted services. We propose a meta-learning-based few-shot MIA for bla...