# DPGAN

**Repository Path**: z406-dev/dpgan

## Basic Information

- **Project Name**: DPGAN
- **Description**: dpgan code 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-01-03
- **Last Updated**: 2025-01-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

### DPGAN: Differentially Private Releasing via Deep Generative Models

#### Description

This is the implementaiton of "Differentially Private Releasing via Deep Generative Models", which trains GAN models in a differentially private manner such that the models can be used to synthesize data for downstream tasks.

#### Citation

If you used the source code, please cite: Xinyang Zhang, Shouling Ji, and Ting Wang, Differentially Private Releasing via Deep Generative Model, arXiv e-prints, 2018.

#### Datasets

The current implementation supports the datasets including MNIST, CelebA, and LSUN. 

#### Usage

Check the folder dpgan/src/dp.