MIT AI Risk Repository · Risk Category · 02.10.00

Model Attacks

Description

Model attacks exploit the vulnerabilities of LLMs, aiming to steal valuable information or lead to incorrect responses.

From Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems (Cui2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Causal entity
Human
Timing
Other

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 Cui2024