Prompt Injection
A technique where specific prompts or cues are inserted into the input data to guide the output of a machine learning model, specifically in the field of natural language processing (NLP).
This resource provides a comprehensive collection of payloads, tools, and techniques for identifying and exploiting prompt injection vulnerabilities in Large Language Models (LLMs). It covers direct and indirect prompt injection methods, real-world applications, and potential misuse scenarios. Security professionals, AI developers, and bug bounty hunters can leverage this information to assess and improve the security of AI-powered applications.
Key features include:
- Tools for prompt generation and vulnerability scanning.
- Examples of direct and indirect prompt injection attacks.
- References to research papers and real-world exploits.
- Mitigation strategies and best practices for secure AI development.
Use cases:
- Security auditing of AI applications.
- Developing robust AI models resistant to prompt injection.
- Bug bounty hunting on AI platforms.
- Security awareness training for AI developers.
