Existing person re-identification benchmarks and methods mainly focus on matching
cropped pedestrian images between queries and candidates. However, it is different from …

The growing popularity of location-based systems, allowing unknown/untrusted servers to
easily collect huge amounts of information regarding users' location, has recently started …

Differential Privacy is one of the most prominent frameworks used to deal with disclosure
prevention in statistical databases. It provides a formal privacy guarantee, ensuring that …

We consider the geo-indistinguishability approach to location privacy, and the trade-off with
respect to utility. We show that, given a desired degree ofgeo-indistinguishability, it is …

Location-based services (LBS) have been significantly developed and widely deployed in
mobile devices. It is also well-known that LBS applications may result in severe privacy …

Mobility traces of people and vehicles have been collected and published to assist the
design and evaluation of mobilee networks, such as large-scale urban sensing networks …

The rapid development of mobile technology has improved users' quality of treatment, and
tremendous amounts of medical information are readily available and widely used in data …

The growing popularity of Location-Based Services, allowing for the collection of huge
amounts of information regarding users' locations, has started raising serious privacy …

Models of human mobility have broad applicability in urban planning, ecology,
epidemiology, and other fields. Starting with Call Detail Records (CDRs) from a cellular …

In this research, we present a spatio-temporal analytical framework including spatio-
temporal visualization (STV), space-time kernel density estimation (STKDE), and spatio …