Prompt Hacker Collections
This GitHub repository serves as a comprehensive resource for the study and practice of prompt-injection attacks, defenses, and interesting examples. It is aimed at researchers, students, and security professionals interested in the following key areas:
Key Features
- Prompt Attack-Defense: Explore various strategies for defending against prompt injection attacks.
- Prompt Injection: Understand the mechanics and implications of prompt injection in AI models.
- Reverse Engineering: Learn how to reverse-engineer prompts for various AI applications.
- YAML Organization: All examples and prompts are organized in YAML format for easy usage and parsing.
Benefits
- Educational Resource: Ideal for academic research and education on AI security.
- Community Contributions: Open for contributions, allowing users to share insights and improvements.
- Comprehensive Examples: Includes a wide range of examples, case studies, and detailed notes.
Highlights
- Jailbreak Prompts: Collection of prompts that can bypass restrictions in AI models like ChatGPT.
- Related Resources: Links to additional materials for deeper understanding of prompt-injection attacks and defenses.
- MIT License: Freely available for use and modification under the MIT License.
