dtsip

dtsip's Stars

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook9201983182

• MadryLab/mnist_challenge

  A challenge to explore adversarial robustness of neural networks on MNIST.

  Language:Python7352817179

• huyvnphan/PyTorch_CIFAR10

  Pretrained TorchVision models on CIFAR10 dataset (with weights)

  Language:Python648718155

• MadryLab/cifar10_challenge

  A challenge to explore adversarial robustness of neural networks on CIFAR10.

  Language:Python4881328133

• kohler/hotcrp

  HotCRP conference review software

  Language:PHP33522319114

• chentinghao/download_google_drive

  Download files from Google Drive using Python 2 or Python 3

  Language:Python1955779

• MadryLab/constructed-datasets

  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

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• MadryLab/robust_representations

  Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

  Language:Jupyter Notebook159111117

• MadryLab/robustness_applications

  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

  Language:Jupyter Notebook12711527

• MadryLab/robust-features-code

  Code for "Robustness May Be at Odds with Accuracy"

  Language:Jupyter Notebook9311512

• MadryLab/BREEDS-Benchmarks

  Language:Jupyter Notebook55727

• MadryLab/spatial-pytorch

  Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).

  Language:Jupyter Notebook26713