MICCAI2022 AMAI workshop ECG-ATK-GAN

Arxiv Pre-print

https://arxiv.org/pdf/2110.09983.pdf

Citation

@article{hossain2021ecg,
  title={ECG-ATK-GAN: Robustness against Adversarial Attacks on ECG using Conditional Generative Adversarial Networks},
  author={Hossain, Khondker Fariha and Kamran, Sharif Amit and Ma, Xingjun and Tavakkoli, Alireza},
  journal={arXiv preprint arXiv:2110.09983},
  year={2021}
}

This code is for our paper "ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks" which has been accpeted in MICCAI 2022: AMAI workshop.

Pre-requisite

• Ubuntu 18.04 / Windows 7 or later
• NVIDIA Graphics card

Installation Instruction for Ubuntu

• Download and Install Nvidia Drivers
• Download and Install via Runfile Nvidia Cuda Toolkit 10.0
• Download and Install Nvidia CuDNN 7.6.5 or later
• Install Pip3 and Python3 enviornment

sudo apt-get install pip3 python3-dev

• Install Tensorflow-Gpu version-2.0.0 and Keras version-2.3.1

sudo pip3 install tensorflow-gpu==2.0.0
sudo pip3 install keras==2.3.1

• Install packages from requirements.txt

sudo pip3 install -r requirements.txt