RL-MTJail: Reinforcement Learning for Automated Black-Box Multi-Turn Jailbreaking of Large Language Models

This research proposes RL-MTJail, a reinforcement learning approach for automated black-box multi-turn jailbreaking of Large Language Models. The study offers crucial insights for enhancing LLM security and developing robust defenses against adversarial attacks and malicious prompts in practical deployments.