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MMA-Diffusion: MultiModal Attack on Diffusion Models
March 26, 2024, 4:49 a.m. | Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu
cs.CV updates on arXiv.org arxiv.org
Abstract: In recent years, Text-to-Image (T2I) models have seen remarkable advancements, gaining widespread adoption. However, this progress has inadvertently opened avenues for potential misuse, particularly in generating inappropriate or Not-Safe-For-Work (NSFW) content. Our work introduces MMA-Diffusion, a framework that presents a significant and realistic threat to the security of T2I models by effectively circumventing current defensive measures in both open-source models and commercial online services. Unlike previous approaches, MMA-Diffusion leverages both textual and visual modalities to …
abstract adoption arxiv cs.cr cs.cv diffusion diffusion models framework however image inappropriate misuse mma multimodal nsfw progress security text text-to-image threat type work
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