Awesome-LLM4Security and Awesome-LLM-Red-Teaming
About Awesome-LLM4Security
liu673/Awesome-LLM4Security
This project aims to consolidate and share high-quality resources and tools across the cybersecurity domain.
This is a curated collection of resources for cybersecurity professionals, researchers, and enthusiasts interested in using large language models (LLMs) for security tasks. It brings together information on projects, academic papers, datasets, and related products. The goal is to provide a comprehensive reference for understanding and applying the latest advancements in AI-driven cybersecurity.
About Awesome-LLM-Red-Teaming
user1342/Awesome-LLM-Red-Teaming
A curated list of awesome LLM Red Teaming training, resources, and tools.
This resource helps security researchers, AI developers, and auditors identify and exploit vulnerabilities in large language models (LLMs). It provides a curated collection of tools, guides, and research for conducting red-teaming exercises. You'll find resources ranging from practice environments for prompt injection to advanced frameworks for automated adversarial testing, allowing you to expose weaknesses in LLM security and alignment.
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