AI RESEARCH
Exploring and Developing a Pre-Model Safeguard with Draft Models
arXiv CS.AI
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ArXi:2605.19321v1 Announce Type: cross Large Language Model (LLM) alignment remains vulnerable to jailbreak attacks that elicit unsafe responses, motivating pre-model and post-model guards. Pre-model guards audit the safety of prompts before invoking target models. However, relying solely on the prompt often leads to high false-negative rates (i.e., jailbreak attacks go undetected). Post-model guards address this issue by auditing both the user prompt and the target model's response.