Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …

The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …

In a membership inference attack, an attacker aims to infer whether a data sample is in a
target classifier's training dataset or not. Specifically, given a black-box access to the target …

With the wide use of GPS enabled devices and Location-Based Services, location privacy
has become an increasingly worrying challenge to our community. Existing approaches …

This paper surveys the current research status of location privacy issues in mobile
applications. The survey spans five aspects of study: the definition of location privacy …

LDP (Local Differential Privacy) has been widely studied to estimate statistics of personal
data (eg, distribution underlying the data) while protecting users' privacy. Although LDP …

It is crucial to protect users' location traces against inference attacks on aggregate mobility
data collected from multiple users in various real-world applications. Most of the existing …

With increasing popularity of related applications of mobile crowdsensing, especially in the
field of Internet of Vehicles (IoV), task allocation has attracted wide attention. How to select …

With the rapid development of information technology and the continuous evolution of
personalized services, huge amounts of data are accumulated by large internet companies …

Although users can obtain various services by sharing their location information online with
location-based service providers, it reveals sensitive information about users. However …