Top 50 adversarial-learning open source projects

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

A curated list of dedicated resources and applications

A collection of AWESOME things about domian adaptation

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer

SegAN: Semantic Segmentation with Adversarial Learning

An Unsupervised Learning Framework for Moving Object Detection From Videos

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

PyTorch library for adversarial attack and training

A Pytorch implementation for the ZeroSpeech 2019 challenge.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Pytorch implementation of Virtual Adversarial Training

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

PyTorch implementation of Adversarially Learned Inference (BiGAN).

💡 A curated list of adversarial attacks on model explanations

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

A curated list of awesome graph representation learning.

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)

[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm

Take further steps in the arms race of adversarial examples with only preprocessing.

A Toolbox for Adversarial Robustness Research

Must-read Papers on Textual Adversarial Attack and Defense

Training neural models with structured signals.

Next RecSys Library

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Domain-Adversarial Neural Network in Tensorflow

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

Implementation of Papers on Adversarial Examples

Awesome Domain Adaptation Python Toolbox

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Gym environments modified with adversarial agents

🗣️ NALP is a library that covers Natural Adversarial Language Processing.

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Attending to Discriminative Certainty for Domain Adaptation

Guiding Entity Alignment via Adversarial Knowledge Embedding

Scaleable input gradient regularization

PyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].

Reimplementing cool papers in PyTorch...

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Tensorflow Implementation of open set domain adaptation by backpropagation

This repository contains a new adversarial training method for Generative Conversational Agents

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

Collateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks

AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning

Multimodal Adversarial Network for Cross-modal Retrieval (PyTorch Code)