deepmind/deepmind-research

This repository contains the trained model and dataset used for Unsupervised Adversarial Training (UAT) from the paper Are Labels Required for Improving Adversarial Robustness? Our model is available via TF-Hub. For example usage, refer to quick_eval_cifar.py. The preferred method of running this script is through run.sh, which will set up a virtual environment, install the dependendencies, and run the evaluation script, which will print the adversarial accuracy of the model. Note this file is very large, and requires 227 GB of disc space.