Ensuring privacy in recommender systems for smart cities remains a research challenge,
and in this paper we study collaborative filtering recommender systems for privacy-aware …

Community detection for Location-based Social Networks (LBSNs) has been received great
attention mainly in the field of large-scale Wireless Communication Networks. In this paper …

In this paper, we study the problem of publishing high-dimensional data in a distributed multi-
party environment under differential privacy. In particular, with the assistance of a semi …

This paper considers the problem of differentially private vertically partitioned data sharing.
In particular, with the assistance of a semi-honest curator, the involved parties (ie, data …

With the increasing computation and storage capabilities of mobile devices, the concept of
fog computing was proposed to tackle the high communication delay inherent in cloud …

Data collection is required to be safe and efficient considering both data privacy and system
performance. In this paper, we study a new problem: distributed data sharing with privacy …

In this article, we study the problem of differentially private multi-party data sharing, where
the involved parties assisted by a semi-honest curator collectively generate a shared dataset …

Given a set of local sequential datasets held by multiple parties, we study the problem of
publishing a synthetic dataset that preserves approximate sequentiality information of the …

In this paper, we study the problem of publishing vertically partitioned data under differential
privacy, where different attributes of the same set of individuals are held by multiple parties …

In the era of big data, user data are often vertically partitioned and stored at different local
parties. Exploring the data from all the local parties would enable data analysts to gain a …