Tsinghua and BUPT researchers warn of safety gaps in diffusion-based VLMs

Researchers from Tsinghua University and Beijing University of Posts and Telecommunications warn that diffusion-based vision-language models have safety weaknesses, according to a paper accepted at EMNLP 2026. The source text provided does not give further details on the attack methods, tested models, or results.