awesome-red-teaming-llms

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.