There are 2 repositories under adversarial topic.
Algorithms for outlier, adversarial and drift detection
《深度学习与计算机视觉》配套代码
An information security preparedness tool to do adversarial simulation.
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
Stochastic Adversarial Video Prediction
💡 Adversarial attacks on explanations and how to defend them
Crafting adversarial images
Adversarial Texture Optimization from RGB-D Scans (CVPR 2020).
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
Code and pretrained models for paper: Data-Free Adversarial Distillation
A PyTorch implementation of adversarial pose estimation for multi-person
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
A checkers reinforcement learning AI, and all the tools needed to train it.
Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.
Adversarial Discriminative Domain Adaptation in Chainer
Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
It turns out that adversarial and clean data are not twins, not at all.
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention
The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
Implementation of GAIL and AIRL using chinerrl
pîrebok (from Kurdish "witch") - a guided adversarial fuzzer
Create adversarial images to fool a MNIST classifier in TensorFlow
Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"
The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.