EncryptGAN

Introduction

EncryptGAN is a Tensorflow-based framework for training and testing of EncryptGAN: Image Steganography with Domain Transform

Citation

If you use this code for your research, please cite our papers.

@article{zheng2019encryptgan,
  title={EncryptGAN: Image Steganography with Domain Transform},
  author={Zheng, Ziqiang and Liu, Hongzhi and Yu, Zhibin and Zheng, Haiyong and Wu, Yang and Yang, Yang and Shi, Jianbo},
  journal={arXiv preprint arXiv:1905.11582},
  year={2019}
}

Installation

1. We use Miniconda3 as the basic environment. If you installed the Miniconda3 in path Conda_Path, please install tensorflow-gpu using the command Conda_Path/bin/conda install -c anaconda tensorflow-gpu==1.8.
2. Install dependencies by Conda_Path/bin/pip install -r requirements.txt (if necessary). The requirements.txt file is provided in this package.

Train

The training code will be released soon!

Datasets

• 102Flowers
• CelebA
• Cat2dog

EncryptGAN settings

Results

Complex image encryption

Exploration of our EncryptGAN

More results

Asymmetric image encryption using private keys