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Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
Data augmentation for NLP
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
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 Toolbox for Adversarial Robustness Research
An Open-Source Package for Textual Adversarial Attack.
A Harder ImageNet Test Set (CVPR 2021)
Pytorch implementation of convolutional neural network adversarial attack techniques
Tensorflow tutorial for various Deep Neural Network visualization techniques
Simple pytorch implementation of FGSM and I-FGSM
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition