2 citations · 2 across the 3 of their papers we have counts for
4 papers
CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
Xiang Chen, Fangfang Yang, Chunlei Meng +6
Medical vision--language models (MVLMs) are increasingly used as perceptual backbones in radiology pipelines and as the visual front end of multimodal assistants, yet their reliabi…
Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models
Fan Yang, Yihao Huang, Jiayi Zhu +4
Diffusion-based text-to-image (T2I) models enable high-quality image generation but also pose significant risks of misuse, particularly in producing not-safe-for-work (NSFW) conten…
Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
Fan Yang, Yihao Huang, Kailong Wang +4
Vision-language pre-training (VLP) models, trained on large-scale image-text pairs, have become widely used across a variety of downstream vision-and-language (V+L) tasks. This wid…
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chengyin Hu, Weiwen Shi
Although deep neural networks (DNNs) are known to be fragile, no one has studied the effects of zooming-in and zooming-out of images in the physical world on DNNs performance. In t…