3 papers
cs.CV2025
CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models
Sen Peng, Mingyue Wang, Jianfei He +2
Latent diffusion models have recently demonstrated superior capabilities in many downstream image synthesis tasks. However, customization of latent diffusion models using unauthori…
cs.CV2024
Protective Perturbations against Unauthorized Data Usage in Diffusion-based Image Generation
Sen Peng, Jijia Yang, Mingyue Wang +2
Diffusion-based text-to-image models have shown immense potential for various image-related tasks. However, despite their prominence and popularity, customizing these models using…
cs.CV2024
Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection
Jijia Yang, Sen Peng, Xiaohua Jia
In practical application, the widespread deployment of diffusion models often necessitates substantial investment in training. As diffusion models find increasingly diverse applica…