683 Open source projects that are alternatives of or similar to adversarial-recommender-systems-survey

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

Adversarial Ranking Attack and Defense, ECCV, 2020.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Listing my favorite research papers 📝 from different fields as I read them.

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

StyleGAN Encoder - converts real images to latent space

Natural Language Attacks in a Hard Label Black Box Setting.

CycleGAN based neural network architecture to change the gender of a person’s face

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

Designed to take you from zero experience to GANs within a week.

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

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

Synthetic Data Generation for mixed-type, multivariate time series.

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

recommender system tutorial with Python

Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

🚀 A distraction-free minimal homescreen for Android.

Adversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering

Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)

An index of recommendation algorithms that are based on Graph Neural Networks.

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

my own deep learning mastery roadmap

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Two-stage GANs that generate fingerstyle guitarist images from audio.

Nosto plugin for Prestashop

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Provides tools for literature snowballing

Unofficial pytorch implementation of algorithms for domain adaptation

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

cRNN-GAN to generate music by training on instrumental music (midi)

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

This is our implementation of SAMN: Social Attentional Memory Network

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

Benchmarking synthetic data generation methods.

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)

🤖A list of resources to help anyone getting started with GANs 🤖

This is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Attacking Vision based Perception in End-to-end Autonomous Driving Models

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

Tensorflow-based framework to ease training of generative models

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Tensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "