2024
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
ECCV 2024poster
"While the success of deep learning relies on large amounts of training datasets, data is often limited in privacy-sensitive domains. To address this challenge, generative model learning with differential privacy has emerged as a solution to train private generative models for desensitized data gene…