Novel Approach to Curbing Indirect Prompt Injection in LLMs

The research, available on ArXiv, proposes a method for mitigating indirect prompt injection, a significant security concern in large language models. The analysis of instruction-following intent represents a promising step towards enhancing LLM safety.

• •Addresses the problem of indirect prompt injection.
• •Utilizes instruction-following intent analysis.
• •Published on ArXiv, indicating early stage research.