Introducing the Red-Teaming Resistance Leaderboard

The Red-Teaming Resistance Leaderboard has been introduced as a framework for evaluating the robustness of AI models against adversarial attacks. This leaderboard utilizes a set of benchmarks that assess a model's ability to withstand various red-teaming scenarios, providing a transparent metric for model resilience. It is particularly relevant for practitioners focused on enhancing model security and robustness in deployment, enabling them to identify vulnerabilities and improve defensive strategies.