RL-ATTACK: a generalized black-box adversarial attack on language models via reinforcement learning
Read the original at arxiv.org→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...
Original headline: "RL-ATTACK: A Generalized Black-Box Adversarial Attack on Language Models via Reinforcement Learning"
Coverage timeline
- Nov 9, 05:00 UTC arXiv cs.CL lead source RL-ATTACK: A Generalized Black-Box Adversarial Attack on Language Models via Reinforcement Learning