GFlowNets automate red‑team attacks to expose LLM security gaps
Researchers train a GFlowNet attacker against a target LLM, automatically crafting prompts that beat existing English adversarial benchmarks and even create Turkish attacks. The system assigns a robustness score, offering a scalable, human‑free red‑team tool to surface hidden model flaws.