Alternatives and similar repositories for pytorch-cnn-adversarial-attacks

Users that are interested in pytorch-cnn-adversarial-attacks are comparing it to the libraries listed below

• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆497Updated 4 years ago
• facebookresearch / ImageNet-Adversarial-Training
  ImageNet classifier with state-of-the-art adversarial robustness
  ☆687Updated 5 years ago
• kabkabm / defensegan
  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
  ☆246Updated 6 years ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆118Updated 6 years ago
• sarathknv / adversarial-examples-pytorch
  Implementation of Papers on Adversarial Examples
  ☆397Updated 2 years ago
• jeromerony / fast_adversarial
  Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
  ☆137Updated 5 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆187Updated 5 years ago
• lfz / Guided-Denoise
  The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
  ☆237Updated 7 years ago
• rwightman / pytorch-nips2017-attack-example
  A PyTorch baseline attack example for the NIPS 2017 adversarial competition
  ☆86Updated 8 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 8 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆247Updated 4 years ago
• chawins / Adversarial-Examples-Reading-List
  This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
  ☆227Updated 6 years ago
• MadryLab / cifar10_challenge
  A challenge to explore adversarial robustness of neural networks on CIFAR10.
  ☆506Updated 4 years ago
• LTS4 / DeepFool
  A simple and accurate method to fool deep neural networks
  ☆362Updated 5 years ago
• LTS4 / universal
  ☆249Updated 6 years ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆258Updated 4 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆222Updated 6 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆347Updated 4 years ago
• huanzhang12 / Adversarial_Survey
  Robustness vs Accuracy Survey on ImageNet
  ☆99Updated 4 years ago
• shangtse / robust-physical-attack
  Physical adversarial attack for fooling the Faster R-CNN object detector
  ☆167Updated 5 years ago
• cihangxie / NIPS2017_adv_challenge_defense
  Mitigating Adversarial Effects Through Randomization
  ☆120Updated 7 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 6 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 6 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆265Updated 4 years ago
• val-iisc / fast-feature-fool
  Data independent universal adversarial perturbations
  ☆63Updated 5 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆169Updated 4 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆315Updated 6 years ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆338Updated 4 years ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆390Updated 3 years ago
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆551Updated 2 years ago