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A challenge to explore adversarial robustness of neural networks on CIFAR10.
A challenge to explore adversarial robustness of neural networks on MNIST.
Code for "There Is No Free Lunch In Adversarial Robustness (But There Are Unexpected Benefits)"
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
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