AutoRAN-public

🧠 AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models AutoRAN is an automated Hijacking of Safety Reasoning that leverages less-aligned secondary auxiliary models to simulate reasoning traces, generate narrative prompts, and iteratively refine those prompts to bypass safety...

MAI-2025-0009

This vulnerability in Large Language Models LLMs enables adversarial reasoning attacks that circumvent established safety protocols, resulting in the generation of harmful responses. The root cause of this vulnerability is the inadequate robustness of current LLM safety measures against iterative...