JailGuard: a universal detection framework for prompt-based attacks on LLM systems

• Main Authors: Zhang, Xiaoyu, Zhang, Cen, Li, Tianlin, Huang, Yihao, Jia, Xiaojun, Hu, Ming, Zhang, Jie, Liu, Yang, Ma, Shiqing, Shen, Chao
• 其他作者: College of Computing and Data Science
• 格式: Article
• 語言: English
• 出版: 2025
• 主題: Computer and Information Science; LLM security; Software and application security
• 在線閱讀: https://hdl.handle.net/10356/184567

The systems and software powered by Large Language Models (LLMs) and Multi-Modal LLMs (MLLMs) have played a critical role in numerous scenarios. However, current LLM systems are vulnerable to prompt-based attacks, with jailbreaking attacks enabling the LLM system to generate harmful content, while h...