DATDAT-002 — Data Privacy and Protection Failures
Machine Learning Models Leak Personal Training Data Despite Secure Storage
4/5Sector: OtherGeography: EUStage: OperateIngested: —
Executive Summary
ML models can expose personal training data through inference and extraction attacks, rendering conventional data security controls insufficient. Organisations face GDPR liability even when underlying databases are properly secured, requiring updated governance frameworks for model deployment.
Domain
Data Management
Blindspots in data quality, privacy, bias, lineage, lifecycle, and third-party data dependencies.
Source
MIT AI Risk Repository — The Risks of Machine Learning Systems (Tan2022) ↗https://airisk.mit.edu/
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