XMUDM / ShillingAttack
This repository contains our implementations for Shilling Attacks against Recommender Systems.
☆21Updated 2 years ago
Alternatives and similar repositories for ShillingAttack
Users that are interested in ShillingAttack are comparing it to the libraries listed below
Sorting:
- [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".☆12Updated 3 years ago
- A unified framework for recommender system attacking☆30Updated last year
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)☆58Updated 2 years ago
- Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…☆11Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆16Updated 2 years ago
- A Survey of Poisoning Attacks and Defenses in Recommender Systems☆35Updated 6 months ago
- A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems☆23Updated 3 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆49Updated 4 years ago
- [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction☆39Updated 3 years ago
- This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"☆16Updated 2 years ago
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆24Updated last year
- ☆48Updated last year
- 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
- Code and data for the ACM CIKM 2022 paper "Rank List Sensitivity of Recommender Systems to Interaction Perturbations"☆10Updated 2 years ago
- [AAAI 2023] Official PyTorch implementation for "Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings…☆22Updated 2 years ago
- Adversarial Item Promotion in visually-aware recommenders☆16Updated 3 years ago
- ☆40Updated last year
- ☆24Updated 2 years ago
- ☆17Updated 3 years ago
- SGL PyTorch version☆106Updated 3 years ago
- The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.☆19Updated 2 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Paper Reading list for Shilling Attack and Defense on Recommender Systems☆18Updated 2 months ago
- Implement Fair Recommendation Model In RecBole☆26Updated 2 years ago
- Model Poisoning Attack to Federated Recommendation☆32Updated 3 years ago
- ☆33Updated 4 years ago
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆97Updated 2 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆16Updated last year