StruQ Overview
StruQ is an innovative solution designed to defend against prompt injection attacks targeting large language models (LLMs). It employs a structured query approach that separates trusted prompts from user-provided data, effectively mitigating manipulation risks.
Key Features
- Structured Queries: Enables a clear distinction between prompts and data, enhancing security.
- Fine-Tuning Strategy: Trains LLMs to ignore potentially harmful instructions embedded within user data.
- Enhanced Model Robustness: Significantly improves resistance to prompt injection attacks without sacrificing performance utility.
Benefits
- Security: Protects applications from the prevalent threat of prompt injection attacks.
- Usability: Retains high utility for applications leveraging LLM capabilities.
- Flexibility: Accommodates various implementations through its structured framework.
Highlights
- The system includes a secure front-end for formatting queries and a specially trained LLM for optimal output generation.
- Users can easily clone the repository and set up the environment for training and testing models.
