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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.
Updated
Jun 21, 2022
Jupyter Notebook
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Updated
Jun 22, 2022
Python
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Updated
Jun 21, 2022
Python
Reproduce multiple adversarial attack methods
Updated
May 5, 2020
Python
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
Updated
Jul 28, 2020
Jupyter Notebook
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
Updated
Nov 25, 2021
Jupyter Notebook
PyTorch implementation of DeepFool adversarial attack.
Updated
Apr 17, 2020
Jupyter Notebook
A simple and accurate method to fool deep neural networks(这个是deepfool作者贡献的代码)
Updated
Mar 31, 2020
MATLAB
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