GPTFuzz

'GPTFuzz' is a dataset/benchmark designed to evaluate the safety and robustness of large reasoning models (LRMs) by assessing their performance in handling complex tasks while mitigating harmful outputs during inference.

Papers using GPTFuzz (1)

Safety Context Injection: Inference-Time Safety Alignment via Static Filtering and Agentic Analysis2026