Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models

Suggested Citation

Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang and Qi Alfred Chen (2024) “Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models”. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 24635–24644. Available at: https://openaccess.thecvf.com/content/CVPR2024/html/Sato_Intriguing_Properties_of_Diffusion_Models_An_Empirical_Study_of_the_CVPR_2024_paper.html (Accessed: October 23, 2024).