Cyberattacks on both databases and critical infrastructure have threatened public and
private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy …

In this paper, we design user-centric obfuscation mechanisms that impose the minimum
utility loss for guaranteeing user's privacy. We optimize utility subject to a joint guarantee of …

Differential Privacy (DP) has received increasing attention as a rigorous privacy framework.
Many existing studies employ traditional DP mechanisms (eg, the Laplace mechanism) as …

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 …

The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …

Location privacy continues to attract significant attentions in recent years, fueled by the rapid
growth of locationbased services (LBSs) and smart mobile devices. Location obfuscation …

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

Location privacy protection (LPP) has become a key concern during mobile crowdsourcing
(MCS) task allocation. Existing LPP mechanisms for MCS applications mainly focus on 2-D …

As location-based services (LBSs) on smartphones become increasingly popular, such
services are causing serious privacy concerns, because many users are unwilling to see …

Location proximity schemes have been adopted by social networks and other smartphone
apps as a means of balancing user privacy with utility. However, misconceptions about the …