Sep 23, 2021 · This paper proposes a new recommendation system preserving both privacy and utility. It relies on the local differential privacy (LDP) for the ...

This paper proposes a new recommendation system preserving both privacy and utility. It relies on the local differential privacy (LDP) for the browsing user.

This paper proposes a new recommendation system preserving both privacy and utility. It relies on the local differential privacy (LDP) for the browsing user ...

This repository collects the latest research progress of Privacy-Preserving Recommender Systems after 2018.

In this paper, we propose RSUC, a privacy-preserving Recommender System based on User Classification. RSUC incorporates homomorphic encryption for better data ...

This paper proposes a new recommendation system preserving both privacy and utility. It relies on the local differential privacy (LDP) for the browsing user to ...

A Validated Privacy-Utility Preserving Recommendation System with Local Differential Privacy. This paper proposes a new recommendation system preserving both ...

Oct 22, 2024 · To achieve this goal, we propose in this paper a hybrid approach for privacy-preserving recommender systems by combining differential privacy ( ...

This paper proposes the Individual Differential Privacy via Spectral Clustering (iDP-SC) to address the privacy leakage in skyline query.

May 14, 2024 · A validated privacy- utility preserving recommendation system with local differential privacy. In 2021 IEEE 15th. International Conference on ...