MIT AI Risk Repository · Risk Sub-Category · 73.07.03

Adversarial Optimization:

Category: Jailbreaks and Prompt Injections Threaten Security of LLMs

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Description

"Jailbreak attacks can be discovered by performing manual or auto- mated adversarial optimization against a proxy objective that is noisily correlated with the success of a jailbreak. These are mostly gradient-based attacks (Zou et al., 2023b; Shin et al., 2020) as described in the previous two challenges, but gradient-free methods also exist (Prasad et al., 2022; Deng et al., 2022; Lapid et al., 2023)."

From Foundational Challenges in Assuring Alignment and Safety of Large Language Models (Anwar2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).

Classification

Domain: —
Subdomain: —
Causal entity: Not coded
Intent: Not coded
Timing: Not coded

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