Causal-Graph-Guided Reinforcement Learning for LLM Security Testing: An Empirical Study
This preprint investigates whether structural causal information derived from adversarial interaction trajectories can improve reinforcement-learning-based black-box security testing of large language models. The study combines PPO-based adaptive prompt search with an interpretable six-factor representation derived fro...