Alternatives and similar repositories for robustbench

Users that are interested in robustbench are comparing it to the libraries listed below

• fra31 / auto-attack
  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
  ☆695Updated 11 months ago
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆534Updated 2 years ago
• locuslab / fast_adversarial
  [ICLR 2020] A repository for extremely fast adversarial training using FGSM
  ☆443Updated 9 months ago
• MadryLab / cifar10_challenge
  A challenge to explore adversarial robustness of neural networks on CIFAR10.
  ☆494Updated 3 years ago
• thu-ml / ares
  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
  ☆505Updated last year
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆388Updated 5 years ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆568Updated last year
• BorealisAI / advertorch
  A Toolbox for Adversarial Robustness Research
  ☆1,335Updated last year
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆250Updated 4 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆935Updated last year
• ndb796 / Pytorch-Adversarial-Training-CIFAR
  This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
  ☆165Updated 4 years ago
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆210Updated 2 years ago
• P2333 / Bag-of-Tricks-for-AT
  Empirical tricks for training robust models (ICLR 2021)
  ☆253Updated last year
• MadryLab / mnist_challenge
  A challenge to explore adversarial robustness of neural networks on MNIST.
  ☆751Updated 3 years ago
• jeromerony / adversarial-library
  Library containing PyTorch implementations of various adversarial attacks and resources
  ☆155Updated 2 weeks ago
• Harry24k / adversarial-attacks-pytorch
  PyTorch implementation of adversarial attacks [torchattacks]
  ☆2,018Updated 10 months ago
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆125Updated last year
• mahyarnajibi / FreeAdversarialTraining
  PyTorch Implementation of Adversarial Training for Free!
  ☆246Updated 3 years ago
• carlini / nn_robust_attacks
  Robust evasion attacks against neural network to find adversarial examples
  ☆827Updated 3 years ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,074Updated 2 years ago
• mathcbc / advGAN_pytorch
  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
  ☆270Updated 4 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆147Updated 4 years ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆154Updated 5 years ago
• alibaba / easyrobust
  EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
  ☆332Updated 10 months ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆198Updated 2 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆155Updated last year
• 1Konny / FGSM
  Simple pytorch implementation of FGSM and I-FGSM
  ☆288Updated 7 years ago
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆315Updated 5 months ago
• locuslab / robust_overfitting
  ☆157Updated 4 years ago
• Hadisalman / smoothing-adversarial
  Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
  ☆225Updated 5 years ago