JailbreakZoo

Explore vulnerabilities and protections in large language and vision-language models

CommonProductProgrammingAI SecurityModel Breaking

JailbreakZoo is a repository focused on breaking large models, including large language models and vision-language models. The project aims to explore vulnerabilities, exploitation methods, and defense mechanisms of these advanced AI models to promote a deeper understanding and awareness of security in large-scale AI systems.

Systematically organizes large language model breaking techniques by release timeline
Provides strategies and methods for defending against large language models
Introduces vulnerabilities and breaking methods specific to vision-language models
Includes defense mechanisms for vision-language models
covering latest advancements and strategies
Encourages community contributions
including adding new research
improving documentation
or sharing breaking and defense strategies

JailbreakZoo targets AI security researchers
developers
and academics interested in the safety of large AI models. It provides a platform for these users to gain a deeper understanding and research potential security issues within large AI models.

Researchers use JailbreakZoo to analyze vulnerabilities in the latest large language models
Developers leverage information from the repository to enhance the security of their products
Academia utilizes JailbreakZoo to teach students about AI model security

Visit the JailbreakZoo GitHub page
Read the introduction section to understand the project's goals and background
Browse breaking techniques and defense strategies published on different timelines
Review specific model break cases or defense methods as needed
Follow the contribution guidelines to submit your own research findings or suggestions if desired

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