adversarial-example

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

Simple pytorch implementation of FGSM and I-FGSM

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.

Code for the CVPR 2019 article "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses"

PyTorch library for adversarial attack and training

A targeted adversarial attack method, which won the NIPS 2017 targeted adversarial attacks competition

Generative Adversarial Perturbations (CVPR 2018)

Spatially Transformed Adversarial Examples with TensorFlow

Deflecting Adversarial Attacks with Pixel Deflection

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

List of state of the art papers, code, and other resources

A simple implement of an Adversarial Autoencoding ATN(AAE ATN)

TensorFlow version of SqueezeNet with converted pretrained weights

基于深度学习的验证码破解、对抗与反对抗研究

code for ACL 2018 paper by Kang et al., "AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples "

Adversarial Examples on KNN (and its neural network friends)

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

Experiments with distributionally robust optimization (DRO) for deep neural networks

This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

This is the course project for CSCE585: ML Systems. Students will build their machine learning systems based on the provided infrastructure --- Athena.