/adversarial-classifier

It turns out that adversarial and clean data are not twins, not at all.

Primary LanguagePythonMIT LicenseMIT

Adversarial Classifier

This repo contains the code to reproduce the experiment in our paper (https://arxiv.org/abs/1704.04960), specifically the code to generate the figures and tables.

Code Dependencies

  1. Python 3.6+
  2. Keras https://keras.io/
  3. Tensorflow https://tensorflow.org
  4. tensorflow-adversarial https://github.com/gongzhitaao/tensorflow-adversarial

Datasets

We used MNIST, CIFAR10 and SVHN in our experiment.

Document

The paper itself is written in Org mode (http://orgmode.org/) employing the ICML2017 LaTeX template, with slight modification, i.e., removing the conference information.