Huge amounts of unstructured data including image, video, audio, and text are ubiquitously
generated and shared, and it is a challenge to protect sensitive personal information in …

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 …

As the general development trend of the automotive industry, connected and autonomous
vehicles (CAVs) can be used to increase transportation safety, promote mobility choices …

Location-based services (LBS) have become an important part of people's daily life.
However, while providing great convenience for mobile users, LBS result in a serious …

Can we detect common objects in a variety of image domains without instance-level
annotations? In this paper, we present a framework for a novel task, cross-domain weakly …

Crowdsourcing is a computing paradigm where humans are actively involved in a
computing task, especially for tasks that are intrinsically easier for humans than for …

Destination prediction plays an important role as the basis for a variety of location-based
services (LBSs). However, it poses many threats to users' location privacy. Most related work …

The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a system
and the amount of protection offered by privacy-enhancing technologies. In this way, privacy …

Many modern cities strive to integrate information technology into every aspect of city life to
create so-called smart cities. Smart cities rely on a large number of application areas and …

Location information of workers are usually required for optimal task allocation in mobile
crowdsensing, which however raises severe concerns of location privacy leakage. Although …