Conformal Privacy Auditing: Calibrated Re-identification Attacks with Statistical Guarantees

Empirical identity leakage from released text is increasingly driven by attackers that combine large language models (LLMs) with auxiliary knowledge to link documents to individuals. Existing audits typically report success rates for specific attack pipelines but lack finite-sample statistical guara