Open-Prompt-Injection

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.