Authors create LLMCVE dataset of LLM-in-the-loop vulnerabilities and demonstrate that agent-based repair methods achieve low success rates on them, particularly prompt injections at 28.57% Pass@1.
Understanding the Supply Chain and Risks of Large Language Model Applications
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Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities
Authors create LLMCVE dataset of LLM-in-the-loop vulnerabilities and demonstrate that agent-based repair methods achieve low success rates on them, particularly prompt injections at 28.57% Pass@1.
- LLM Harms: A Taxonomy and Discussion