Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

Reproduce multiple adversarial attack methods

Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network

PyTorch implementation of DeepFool adversarial attack.

Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022

A Tensorflow adversarial machine learning attack toolkit to add perturbations and cause image recognition models to misclassify an image

A simple and accurate method to fool deep neural networks（这个是deepfool作者贡献的代码）

Adversarial Attacks on MNIST

Adversarial Attacks on Image data