Code to reproduce the methods of the paper Scaleable input gradient regularization for adversarial robustness. Included are:
- training scripts for CIFAR-10 and ImageNet-1k
- scripts to evaluate trained models on test data (in particular, to calculate lower bounds on the minimum adversarial distance)
- scripts to download pretrained models used in the paper's results section
If you use these methods in your scientific work, please cite as
@article{finlay_2019_scaleable,
author = {Chris Finlay and
Adam M. Oberman},
title = {Scaleable input gradient regularization for adversarial robustness},
journal = {CoRR},
volume = {abs/1905.11468},
year = {2019},
url = {http://arxiv.org/abs/1905.11468},
archivePrefix = {arXiv},
eprint = {1905.11468},
}