Alternatives and similar repositories for foolbox

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

• BorealisAI / advertorch
  A Toolbox for Adversarial Robustness Research
  ☆1,359Updated 2 years ago
• cleverhans-lab / cleverhans
  An adversarial example library for constructing attacks, building defenses, and benchmarking both
  ☆6,398Updated last year
• carlini / nn_robust_attacks
  Robust evasion attacks against neural network to find adversarial examples
  ☆852Updated 4 years ago
• Trusted-AI / adversarial-robustness-toolbox
  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…
  ☆5,736Updated 2 weeks ago
• MadryLab / mnist_challenge
  A challenge to explore adversarial robustness of neural networks on MNIST.
  ☆757Updated 3 years ago
• Harry24k / adversarial-attacks-pytorch
  PyTorch implementation of adversarial attacks [torchattacks]
  ☆2,132Updated last year
• MadryLab / robustness
  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
  ☆946Updated last year
• advboxes / AdvBox
  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and …
  ☆1,407Updated 2 years ago
• fra31 / auto-attack
  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
  ☆735Updated last year
• anishathalye / obfuscated-gradients
  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
  ☆904Updated 2 years ago
• sarathknv / adversarial-examples-pytorch
  Implementation of Papers on Adversarial Examples
  ☆397Updated 2 years ago
• RobustBench / robustbench
  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
  ☆756Updated 8 months 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
• PAIR-code / saliency
  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
  ☆989Updated last year
• thu-ml / ares
  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
  ☆521Updated 2 years ago
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆567Updated 2 years ago
• utkuozbulak / pytorch-cnn-adversarial-attacks
  Pytorch implementation of convolutional neural network adversarial attack techniques
  ☆364Updated 7 years ago
• Hyperparticle / one-pixel-attack-keras
  Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
  ☆1,232Updated last year
• LTS4 / universal
  ☆249Updated 6 years ago
• yaodongyu / TRADES
  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
  ☆551Updated 2 years ago
• gongzhitaao / tensorflow-adversarial
  Crafting adversarial images
  ☆222Updated 6 years ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,120Updated 3 years ago
• chbrian / awesome-adversarial-examples-dl
  A curated list of awesome resources for adversarial examples in deep learning
  ☆265Updated 4 years ago
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,121Updated 3 years ago
• facebookresearch / ImageNet-Adversarial-Training
  ImageNet classifier with state-of-the-art adversarial robustness
  ☆687Updated 5 years ago
• yenchenlin / awesome-adversarial-machine-learning
  A curated list of awesome adversarial machine learning resources
  ☆1,884Updated 5 years ago
• huyvnphan / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆688Updated 2 years ago
• kabkabm / defensegan
  Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
  ☆246Updated 6 years ago
• locuslab / smoothing
  Provable adversarial robustness at ImageNet scale
  ☆403Updated 6 years ago