facebookresearch / ImageNet-Adversarial-TrainingLinks
ImageNet classifier with state-of-the-art adversarial robustness
☆685Updated 5 years ago
Alternatives and similar repositories for ImageNet-Adversarial-Training
Users that are interested in ImageNet-Adversarial-Training are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of convolutional neural network adversarial attack techniques☆360Updated 6 years ago
- Countering Adversarial Image using Input Transformations.☆496Updated 3 years ago
- Implementation of Papers on Adversarial Examples☆397Updated 2 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆238Updated 7 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆242Updated 5 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆498Updated 3 years ago
- Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)☆515Updated last week
- Improving Transferability of Adversarial Examples with Input Diversity☆164Updated 6 years ago
- A Toolbox for Adversarial Robustness Research☆1,343Updated last year
- Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"☆135Updated 4 years ago
- Simple pytorch implementation of FGSM and I-FGSM☆289Updated 7 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆542Updated 2 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 3 weeks ago
- Wide Residual Networks (WideResNets) in PyTorch☆339Updated 4 years ago
- Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"☆187Updated 4 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆333Updated 6 years ago
- PyTorch Implementation of Adversarial Training for Free!☆247Updated 3 years ago
- A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition☆251Updated 5 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆798Updated 2 years ago
- PyTorch library for adversarial attack and training☆145Updated 6 years ago
- A challenge to explore adversarial robustness of neural networks on MNIST.☆754Updated 3 years ago
- This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.☆227Updated 5 years ago
- Black-Box Adversarial Attack on Public Face Recognition Systems☆415Updated 3 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆444Updated 11 months ago
- A drop-in replacement for CIFAR-10.☆241Updated 4 years ago
- 2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552☆550Updated 5 years ago
- Code for paper☆560Updated 3 years ago
- Physical adversarial attack for fooling the Faster R-CNN object detector☆165Updated 5 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆471Updated 5 years ago