AutoMIA: Improved Baselines for Membership Inference Attack via Agentic Self-Exploration
AutoMIA: Improved Baselines for Membership Inference Attack via Agentic Self-Exploration explores An agentic framework that automates membership inference attacks by self-exploring and refining strategies, improving model auditing without manual feature engineering.. Commercial viability score: 7/10 in AI Security.
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