DP-MERF: Differentially Private Mean Embeddings with Random Features for
Practical Privacy-Preserving Data Generation
Papers citing "DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation"
50 / 68 papers shown
Title |
|---|
 Privacy-Preserving Student Learning with Differentially Private
Data-Free Distillation Bochao Liu Jianghu Lu Pengju Wang Junjie Zhang Dan Zeng Zhenxing Qian Shiming Ge |
 Learning Differentially Private Diffusion Models via Stochastic
Adversarial Distillation Bochao Liu Pengju Wang Shiming Ge |
 |
 |
