There are 9 repositories under adversarial-learning topic.
A collection of AWESOME things about domian adaptation
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Must-read Papers on Textual Adversarial Attack and Defense
A Toolbox for Adversarial Robustness Research
Training neural models with structured signals.
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Implementation of Papers on Adversarial Examples
Awesome Domain Adaptation Python Toolbox
A curated list of dedicated resources and applications
An Unsupervised Learning Framework for Moving Object Detection From Videos
A Paper List for Open-Domain Dialogue Generation, and related datasets.
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow
SegAN: Semantic Segmentation with Adversarial Learning
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.
A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
PyTorch library for adversarial attack and training
Pytorch implementation of Virtual Adversarial Training
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
A Pytorch implementation for the ZeroSpeech 2019 challenge.
Contains materials for workshops pertaining to adversarial robustness in deep learning.
Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)
[CVPR 2019] Pytorch codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection
PyTorch implementation of Adversarially Learned Inference (BiGAN).