Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack 事件

Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack arXiv:2606.05614v1 Announce Type: new Abstract: Large language models (LLMs) are rigorously aligned to refuse harmful requests, a process that inherently cultivates a latent capacity to evaluate and recognize unsafe content. In this work, we reveal that this advanced safety awareness inadvertently introduces a fatal vulnerability. We introduce Posterior Attack, a single-query jailbreak that bypasses guardra