Defending LLMs: Adaptive Jailbreak Detection via Immunity Memory

This research explores a novel approach to securing large language models by leveraging an immunity memory concept to detect and mitigate jailbreak attempts. The use of a multi-agent adaptive guard suggests a proactive and potentially robust defense strategy.