Adversarial Attacks on Image data
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Updated
Jul 31, 2022 - Jupyter Notebook
Adversarial Attacks on Image data
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
A Tensorflow adversarial machine learning attack toolkit to add perturbations and cause image recognition models to misclassify an image
Official implementation of the paper: "REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions", IEEE WACV, 2022
PyTorch implementation of DeepFool adversarial attack.
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
Reproduce multiple adversarial attack methods
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
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.
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