CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks

This repository contains the code for the paper CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.

Datasets

The processed datasets are organized into folders named Block, Cardio, Cancer, Epic, IoT, Transactions, SWAT, UCI, and Wadi.

Training and Evaluation

Run CB-GAN.py

Citation

If you find this repository useful in your research, please cite the following paper:

@inproceedings{hu2023cb,
  title={Cb-gan: Generate sensitive data with a convolutional bidirectional generative adversarial networks},
  author={Hu, Richa and Li, Dan and Ng, See-Kiong and Zheng, Zibin},
  booktitle={International Conference on Database Systems for Advanced Applications},
  pages={159--174},
  year={2023},
  organization={Springer}
}