facebookresearch / ImageNet-Adversarial-Training
ImageNet classifier with state-of-the-art adversarial robustness
☆677Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ImageNet-Adversarial-Training
- Pytorch implementation of convolutional neural network adversarial attack techniques☆350Updated 5 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆506Updated 3 months ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆227Updated 6 years ago
- Countering Adversarial Image using Input Transformations.☆489Updated 3 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆587Updated 3 years ago
- Implementation of Papers on Adversarial Examples☆387Updated last year
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆231Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆980Updated 3 months ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆518Updated last year
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆185Updated 4 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆489Updated 3 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆161Updated 5 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆543Updated 4 years ago
- A drop-in replacement for CIFAR-10.☆235Updated 3 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆483Updated 7 months ago
- [ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangya…☆464Updated 9 months ago
- Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"☆917Updated 5 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆273Updated 6 years ago
- Implementation of the mixup training method☆464Updated 6 years ago
- MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)☆413Updated 5 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆462Updated 4 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆368Updated 5 years ago
- Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks☆237Updated 3 years ago
- Code for paper☆563Updated 3 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,019Updated 2 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆787Updated last year
- Wide Residual Networks (WideResNets) in PyTorch☆333Updated 3 years ago
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆134Updated 3 years ago
- A Toolbox for Adversarial Robustness Research☆1,305Updated last year