Defending LLMs: Adaptive Jailbreak Detection via Immunity Memory
Published:Dec 3, 2025 01:40
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
Reference
“The paper is available on ArXiv.”