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Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
A challenge to explore adversarial robustness of neural networks on MNIST.
Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"
Code for "Robustness May Be at Odds with Accuracy"
Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
A Neural Net Training Interface on TensorFlow
Models and examples built with TensorFlow
Computation using data flow graphs for scalable machine learning