A new research paper introduces "JustAsk," a framework designed to extract system prompts from large language models, particularly those used in autonomous code agents. This method requires no pre-existing prompts or labeled data, instead relying on the agent's interaction capabilities to discover vulnerabilities. Tested on 41 commercial models, JustAsk successfully recovered full or near-complete system prompts, highlighting a significant security risk in current agent designs. AI
IMPACT Reveals a critical security vulnerability in autonomous AI agents, potentially impacting the safety and integrity of LLM-based systems.
RANK_REASON The cluster contains a research paper detailing a new method for extracting system prompts from AI models. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- Connected Papers
- DagsHub
- Gotit.pub
- Hugging Face
- JustAsk
- Litmaps
- ScienceCast
- scite Smart Citations
- Xiang Zheng
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