Code and information related to paper IJCNN 2021 paper "Adversarial Attacks and Defense on Deep Learning Classification Models using YCbCr Color Images"
Download the weights here: weight_1 weight_2
If you use any code for your research, please consider citing:
@article{pestana2020adversarial,
title={Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space},
author={Pestana, Camilo and Akhtar, Naveed and Liu, Wei and Glance, David and Mian, Ajmal},
journal={arXiv preprint arXiv:2003.00883},
year={2020}
}
The data and code provided is for research purposes only. No commercial license is provided. For any other questions please contact camilo.pestanacardeno@research.uwa.edu.au