Alternatives and similar repositories for unrestricted-adversarial-examples:

Users that are interested in unrestricted-adversarial-examples are comparing it to the libraries listed below

• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆255Updated 4 years ago
• locuslab / convex_adversarial
  A method for training neural networks that are provably robust to adversarial attacks.
  ☆385Updated 3 years ago
• facebookarchive / adversarial_image_defenses
  Countering Adversarial Image using Input Transformations.
  ☆496Updated 3 years ago
• anishathalye / obfuscated-gradients
  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
  ☆890Updated last year
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆223Updated 6 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆265Updated 4 years ago
• QData / AdversarialDNN-Playground
  VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
  ☆130Updated last year
• dangeng / Simple_Adversarial_Examples
  Repo of simple adversarial examples on vanilla neural networks trained on MNIST
  ☆121Updated 4 years ago
• MadryLab / constructed-datasets
  Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
  ☆187Updated 4 years ago
• LTS4 / universal
  ☆246Updated 6 years ago
• jsikyoon / adv_attack_capsnet
  Tensorflow Implementation of Adversarial Attack to Capsule Networks
  ☆172Updated 7 years ago
• ftramer / ensemble-adv-training
  Ensemble Adversarial Training on MNIST
  ☆121Updated 7 years ago
• sarathknv / adversarial-examples-pytorch
  Implementation of Papers on Adversarial Examples
  ☆395Updated 2 years ago
• Evolving-AI-Lab / fooling
  Code base for "Deep Neural Networks are Easily Fooled" CVPR 2015 paper
  ☆173Updated 7 years ago
• eth-sri / diffai
  A certifiable defense against adversarial examples by training neural networks to be provably robust
  ☆219Updated 9 months ago
• akshaychawla / Adversarial-Examples-in-PyTorch
  Pytorch code to generate adversarial examples on mnist and ImageNet data.
  ☆117Updated 6 years ago
• lfz / Guided-Denoise
  The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL
  ☆235Updated 7 years ago
• revbucket / mister_ed
  Pytorch Adversarial Attack Framework
  ☆78Updated 5 years ago
• huanzhang12 / ZOO-Attack
  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks
  ☆170Updated 3 years ago
• robust-ml / robustml
  Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.
  ☆62Updated 5 years ago
• MadryLab / robust-features-code
  Code for "Robustness May Be at Odds with Accuracy"
  ☆91Updated 2 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆81Updated 9 months ago
• jacobgil / pytorch-explain-black-box
  PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation
  ☆336Updated 3 years ago
• facebookresearch / ImageNet-Adversarial-Training
  ImageNet classifier with state-of-the-art adversarial robustness
  ☆683Updated 5 years ago
• LTS4 / DeepFool
  A simple and accurate method to fool deep neural networks
  ☆363Updated 5 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.
  ☆225Updated 5 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆187Updated 2 years ago
• MadryLab / robustness_applications
  Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
  ☆128Updated 5 years ago
• labsix / limited-blackbox-attacks
  Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
  ☆177Updated 3 years ago
• shangtse / robust-physical-attack
  Physical adversarial attack for fooling the Faster R-CNN object detector
  ☆163Updated 5 years ago