SECSEC-001 — Model Security Vulnerabilities
Attribute Inference Attack Exposes Sensitive Training Data via Model Queries
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Adversaries with partial knowledge of training data can repeatedly query AI models to reconstruct sensitive personal attributes of individuals in that dataset. Organisations face regulatory exposure under data protection law and reputational harm if deployed models leak protected characteristics.
Domain
Security & Privacy
Blindspots in model security, data poisoning, privacy leakage, infrastructure, model theft, and incident response.
Source
MIT AI Risk Repository — AI Risk Atlas (IBM2025) ↗https://airisk.mit.edu/
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