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Payloads and techniques for exploiting prompt injection vulnerabilities in AI/NLP models like ChatGPT, including direct and indirect methods.
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:
Use cases: