BenKosSoft / pymovielensLinks
Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.
☆11Updated 7 years ago
Alternatives and similar repositories for pymovielens
Users that are interested in pymovielens are comparing it to the libraries listed below
Sorting:
- Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"☆39Updated 3 years ago
- A project for collecting and showing the current research progress of FedRec☆140Updated last year
- ☆42Updated 2 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published a…☆33Updated 4 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- ☆41Updated last year
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆45Updated 3 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆29Updated 3 years ago
- ☆63Updated 6 years ago
- ☆16Updated 6 years ago
- [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction☆39Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 7 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- Model Poisoning Attack to Federated Recommendation☆30Updated 3 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆34Updated 6 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆23Updated 3 years ago
- Federated Multi-Task Learning☆132Updated 6 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Papers related to federated learning for recommender system☆32Updated 4 years ago
- ☆27Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆15Updated 3 years ago
- ☆169Updated 7 years ago
- ☆17Updated 3 years ago
- Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation☆39Updated 6 years ago
- ☆30Updated 4 years ago