Open-Prompt-Injection
Open-Prompt-Injection is an open-source toolkit designed for evaluating and defending against prompt injection attacks in large language model (LLM) applications. This repository provides a comprehensive benchmark for both attacks and defenses, enabling researchers and developers to implement, evaluate, and extend various strategies in LLM-integrated applications.
Key Features:
- Benchmarking: Offers a standardized framework for assessing prompt injection attacks and defenses.
- Implementation: Provides code snippets and configurations for easy setup and experimentation.
- Flexibility: Users can modify configurations to test different attack and defense strategies.
- Integration: Supports various LLMs, including Google's PaLM2 and Meta's Llama models.
Benefits:
- Research Utility: Facilitates academic research in the field of AI security by providing a robust testing ground.
- Community Contribution: Open-source nature allows for community collaboration and improvement.
- Educational Resource: Serves as a learning tool for understanding prompt injection vulnerabilities and defenses.
Highlights:
- Simple demo and combined attack examples provided for quick start.
- Integration with DataSentinel for prompt injection detection.
- Citing relevant research papers for academic acknowledgment.