Preprint
Aug 2026
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.
Berkay Ozcam, Irem Onen, M. Amasyalı et al.
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