MIT AI Risk Repository · Risk Sub-Category · 64.05.01

Privacy compromise

Category: Misuse tactics to compromise GenAI systems (Data integrity)

Description

"Privacy Compromise attacks reveal sensitive or private information that was used to train a model. For example, personally identifiable information or medical records."

From Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data (Marchal2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
Human

Subdomain definition: Vulnerabilities in AI systems, software development toolchains, and hardware that can be exploited, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.

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How other frameworks describe this risk

Other entries from Marchal2024