Irem Onen

Generating Attacks for LLMs with GFlowNets

This study proposes an automated, human-independent, and adaptive approach leveraging GFlowNets to identify LLM vulnerabilities by utilizing one large language model to test another, and introduces a model capable of generating attack inputs in the Turkish language.