CyberSecEval 2 is a comprehensive evaluation framework designed to assess the cybersecurity risks and capabilities of large language models. The framework evaluates various aspects, including data poisoning, model stealing, and membership inference attacks. It also assesses the models' ability to detect and prevent such attacks. CyberSecEval 2 aims to provide a standardized method for evaluating the security of large language models, which are increasingly being used in applications such as chatbots and virtual assistants. --- Why it matters: This matters to researchers and engineers working on AI because it provides a much-needed framework for evaluating the cybersecurity risks associated with large language models. This is crucial as these models are becoming more pervasive in various industries, and their security vulnerabilities can have significant consequences. Source: https://huggingface.co/blog/leaderboard-llamaguard