rwightman / pytorch-nips2017-adversarialLinks
NIPS 2017 Adversarial Competition in PyTorch
☆14Updated 7 years ago
Alternatives and similar repositories for pytorch-nips2017-adversarial
Users that are interested in pytorch-nips2017-adversarial are comparing it to the libraries listed below
Sorting:
- A fast sparse attack on deep neural networks.☆50Updated 5 years ago
- A PyTorch baseline attack example for the NIPS 2017 adversarial competition☆86Updated 8 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Updated 7 years ago
- Robustness vs Accuracy Survey on ImageNet☆99Updated 4 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆136Updated 4 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 7 years ago
- Data independent universal adversarial perturbations☆63Updated 5 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177Updated last year
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆58Updated 6 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"☆128Updated 6 years ago
- Pytorch Adversarial Attack Framework☆78Updated 6 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆89Updated 6 years ago
- Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.☆49Updated 6 years ago
- ☆26Updated 6 years ago
- Code for "Robustness May Be at Odds with Accuracy"☆91Updated 2 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆74Updated last year
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆163Updated 5 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- ☆48Updated 4 years ago
- A simple implement of an Adversarial Autoencoding ATN(AAE ATN)☆30Updated 8 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 5 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆97Updated 4 years ago
- Deflecting Adversarial Attacks with Pixel Deflection☆71Updated 7 years ago
- ☆88Updated last year
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago