Awesome Red-Teaming LLMs
The Awesome Red-Teaming LLMs repository provides a comprehensive guide on attacks, defenses, and red-teaming strategies for Large Language Models (LLMs).
Key Features:
- Red-Teaming Attack Taxonomy: Detailed classification of various attack types against LLMs.
- Surveys and Resources: Curated lists and references to additional surveys on red-teaming.
- Contribution Welcome: Open to contributions from the community to expand the taxonomy.
Benefits:
- Enhances understanding of threat modeling and operationalizing security frameworks for LLMs.
- Provides researchers and practitioners with necessary tools and knowledge to effectively red-team AI systems.
Highlights:
- Based on the paper "Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)" published on arXiv.
- Actively maintained repository with a growing number of resources to assist in LLM security assessments.
