Reactivating Alignment: Defending LLMs from Jailbreaks via Intention-Aware Input-Output Matching.

arXiv:2610.04470v1 Announce Type: new Abstract: Large language models (LLMs) remain vulnerable to jailbreak attacks that conceal harmful intent within complex adversarial prompts. Existing defenses primarily rely on input perturbation or harmful-output suppres