PsychoPass: Geometric Profiling of Multi-Turn Adversarial LLM Conversations 事件

PsychoPass: Geometric Profiling of Multi-Turn Adversarial LLM Conversations arXiv:2606.03136v1 Announce Type: cross Abstract: Multi-turn jailbreak attacks on large language models (LLMs) reveal a mismatch in current guardrails: they operate on individual turns, while attacks unfold as trajectories across conversations. We propose a shift from content to dynamics, modeling conversations as paths in representation space and asking whether adversarial intent is encoded early in their geometry. We