EdisonLeeeee / RS-Adversarial-LearningLinks
A curated collection of adversarial attack and defense on recommender systems.
☆136Updated 3 years ago
Alternatives and similar repositories for RS-Adversarial-Learning
Users that are interested in RS-Adversarial-Learning are comparing it to the libraries listed below
Sorting:
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"☆17Updated 3 years ago
- The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., a…☆159Updated 4 years ago
- [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction☆39Updated 4 years ago
- A unified framework for recommender system attacking☆31Updated last year
- Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…☆11Updated 4 years ago
- ☆41Updated last year
- A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems☆23Updated 4 years ago
- Adversarial Item Promotion in visually-aware recommenders☆16Updated 4 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆387Updated last year
- Model Poisoning Attack to Federated Recommendation☆30Updated 3 years ago
- A project for collecting and showing the current research progress of FedRec☆140Updated last year
- The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.☆19Updated 3 years ago
- [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".☆12Updated 4 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆29Updated 3 years ago
- Code and data for the ACM CIKM 2022 paper "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"☆10Updated 3 years ago
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆22Updated 3 years ago
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆23Updated 3 years ago
- ☆26Updated 2 years ago
- Papers and online resources related to machine learning fairness☆73Updated 2 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆23Updated 2 years ago
- ☆58Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"☆39Updated 3 years ago
- A curated collection of adversarial attack and defense on graph data.☆571Updated last year
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆20Updated 5 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago