AutoMIA: Improved Baselines for Membership Inference Attack via Agentic Self-Exploration
arXiv:2604.01014v1 Announce Type: cross
Abstract: Membership Inference Attacks (MIAs) serve as a fundamental auditing tool for evaluating training data leakage in machine learning models. However, existing methodologies predominantly rely on static, h…