MadryLab / mnist_challenge

Related projects ⓘ

Alternatives and complementary repositories for mnist_challenge

• MadryLab / cifar10_challenge
  A challenge to explore adversarial robustness of neural networks on CIFAR10.
  ☆488Updated 3 years ago
• carlini / nn_robust_attacks
  Robust evasion attacks against neural network to find adversarial examples
  ☆798Updated 3 years ago
• sarathknv / adversarial-examples-pytorch
  Implementation of Papers on Adversarial Examples
  ☆389Updated last year
• kabkabm / defensegan
  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
  ☆231Updated 5 years ago
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆519Updated last year
• LTS4 / DeepFool
  A simple and accurate method to fool deep neural networks
  ☆358Updated 4 years ago
• locuslab / fast_adversarial
  [ICLR 2020] A repository for extremely fast adversarial training using FGSM
  ☆435Updated 3 months ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆380Updated 2 years ago
• 1Konny / FGSM
  Simple pytorch implementation of FGSM and I-FGSM
  ☆276Updated 6 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆262Updated 3 years ago
• LTS4 / universal
  ☆239Updated 5 years ago
• BorealisAI / advertorch
  A Toolbox for Adversarial Robustness Research
  ☆1,308Updated last year
• chawins / Adversarial-Examples-Reading-List
  This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
  ☆221Updated 5 years ago
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆369Updated 5 years ago
• fra31 / auto-attack
  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
  ☆656Updated 6 months ago
• ylsung / pytorch-adversarial-training
  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
  ☆242Updated 4 years ago
• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆490Updated 3 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆352Updated 5 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 5 years ago
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆917Updated 10 months ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆253Updated 3 years ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆564Updated last year
• anishathalye / obfuscated-gradients
  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
  ☆883Updated last year
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆195Updated last year
• mathcbc / advGAN_pytorch
  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
  ☆264Updated 3 years ago
• RobustBench / robustbench
  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
  ☆669Updated 2 weeks ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆186Updated last year
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆184Updated 4 years ago
• mahyarnajibi / FreeAdversarialTraining
  PyTorch Implementation of Adversarial Training for Free!
  ☆239Updated 3 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆166Updated 3 years ago