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News/RL-ATTACK: A Generalized Black-Box Adversarial Attack on Language Models via Reinforcement Learning
arxiv
PublishedNovember 9, 2026 at 5:00 AM

RL-ATTACK: A Generalized Black-Box Adversarial Attack on Language Models via Reinforcement Learning

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arXiv:2611.08711v1 Announce Type: new Abstract: Large language models (LLMs) exhibit vulnerabilities to adversarial perturbations that can induce unintended responses. These vulnerabilities can be identified via intentional attacks and subsequently used to improve model safety. In black-box settings

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