BenKosSoft / pymovielensLinks
Applying differential privacy to movie recommendation system to guarantee the privacy of individual user ratings.
☆11Updated 8 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☆141Updated 2 years ago
- ☆42Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- [RecSys 2021] PyTorch Implementation of Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction☆39Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Updated 4 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆17Updated 4 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- ☆41Updated 2 years ago
- Differentially private learning on distributed data (NIPS 2017)☆12Updated 8 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
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆16Updated 3 years ago
- Papers related to federated learning for recommender system☆32Updated 4 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆30Updated 4 years ago
- ☆64Updated 6 years ago
- Data poisoning attack of recommend system using the algorithm of MF.☆31Updated 7 years ago
- Model Poisoning Attack to Federated Recommendation☆31Updated 3 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- ☆33Updated 8 years ago
- This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.☆23Updated 4 years ago
- ☆31Updated 4 years ago
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems☆23Updated 4 years ago
- simple Differential Privacy in PyTorch☆49Updated 5 years ago
- Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…☆25Updated 4 years ago
- walk2friends: Inferring Social Links from Mobility Profiles☆22Updated 7 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- ☆16Updated 6 years ago