ReSI: Recursive Safety Improvement toward Resistant and Resilient AI
The ReSI framework is a recursive safety improvement system that iteratively enhances model safety. It uses diverse red-teaming methods to find vulnerabilities, develops automated training recipes, and produces an updated target model in each cycle. This process aims to build resilient AI by continuously testing and improving defenses against attacks.