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.
💡 Adversarial attacks on explanations and how to defend them
Stochastic Adversarial Video Prediction
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
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/
[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation
A PyTorch implementation of adversarial pose estimation for multi-person
A checkers reinforcement learning AI, and all the tools needed to train it.
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Official implementation of the paper: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
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.
[TKDE 2024, CIKM 2022] SLA²P: Self-supervised Anomaly Detection with Adversarial Perturbation.
Adversarial Discriminative Domain Adaptation in Chainer
Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention
Attack tool for altering packed samples so that they evade static packing detection
It turns out that adversarial and clean data are not twins, not at all.
The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Implementation of GAIL and AIRL using chinerrl
Based on Pytorch, the Adversarial Attack algorithm DeepFool, targeting the Mnist data set and ResNet18 network
pîrebok (from Kurdish "witch") - a guided adversarial fuzzer
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
Battleship environment for reinforcement learning tasks