Alternatives and similar repositories for DeepFool:

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

• LTS4 / universal
  ☆242Updated 6 years ago
• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆491Updated 3 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 6 years ago
• MadryLab / mnist_challenge
  A challenge to explore adversarial robustness of neural networks on MNIST.
  ☆740Updated 2 years ago
• sarathknv / adversarial-examples-pytorch
  Implementation of Papers on Adversarial Examples
  ☆393Updated last year
• MadryLab / cifar10_challenge
  A challenge to explore adversarial robustness of neural networks on CIFAR10.
  ☆490Updated 3 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 7 years ago
• carlini / nn_robust_attacks
  Robust evasion attacks against neural network to find adversarial examples
  ☆815Updated 3 years ago
• kabkabm / defensegan
  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
  ☆236Updated 5 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆263Updated 4 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆188Updated last year
• lfz / Guided-Denoise
  The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
  ☆233Updated 6 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆167Updated 3 years ago
• cg563 / simple-blackbox-attack
  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"
  ☆196Updated last year
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆529Updated 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.
  ☆224Updated 5 years ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆252Updated 3 years ago
• labsix / limited-blackbox-attacks
  Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
  ☆175Updated 3 years ago
• dongyp13 / Non-Targeted-Adversarial-Attacks
  A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
  ☆245Updated 5 years ago
• locuslab / fast_adversarial
  [ICLR 2020] A repository for extremely fast adversarial training using FGSM
  ☆441Updated 6 months ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆355Updated 6 years ago
• jhayes14 / adversarial-patch
  PyTorch implementation of adversarial patch
  ☆209Updated 2 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆185Updated 4 years ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆117Updated 6 years ago
• shangtse / robust-physical-attack
  Physical adversarial attack for fooling the Faster R-CNN object detector
  ☆158Updated 5 years ago
• OmidPoursaeed / Generative_Adversarial_Perturbations
  Generative Adversarial Perturbations (CVPR 2018)
  ☆137Updated 4 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated last year
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆383Updated 5 years ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆383Updated 3 years ago
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆85Updated 7 years ago