There are 3 repositories under adversarial-example topic.
Data augmentation for NLP
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
A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition
Tensorflow Implementation of Adversarial Attack to Capsule Networks
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
PyTorch library for adversarial attack and training
Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"
Generative Adversarial Perturbations (CVPR 2018)
A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition
A Paperlist of Adversarial Attack on Object Detection
List of state of the art papers, code, and other resources
Spatially Transformed Adversarial Examples with TensorFlow
Deflecting Adversarial Attacks with Pixel Deflection
My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW
Experiments with distributionally robust optimization (DRO) for deep neural networks
A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
TensorFlow version of SqueezeNet with converted pretrained weights
Adversarial Examples on KNN (and its neural network friends)
This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.
reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch
This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.
Capsule networks can defend against adversarial attacks using reconstruction error
Generation tool for offset-resistant audio adversarial examples against Deepspeech
Tensorflow Implementation of adversarial learning based adversarial example generator