There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

Identity disclosure risk is an essential consideration in data anonymization aimed at
preserving privacy and utility. The risk is regionally dependent. Therefore, there is a need for …

Data release is essential in supporting data analytics and secondary data analyses.
However, data curators need to ensure the released datasets preserve data subjects' …

In a time marked by an ever-increasing number of sensitive data and mounting worries
about breaches of privacy, the area of cryptography has emerged as the frontrunner in the …

Introduction Among all the digital data sources, social media have emerged as a significant
source of health-related information, offering access to patient perspectives, outcomes and …

Privacy problems are major obstacles to collecting and using big data because, in many
cases, big data reflects a person's history of activities, such as moving around a city, buying …

Identifying people from anonymous location histories is important for two purposes. ie to
clarify privacy risks in using the location histories and to find evidence of who went where …

A crucial component of any intelligent system is to understand and predict the behavior of its
users. A correct model of user's behavior enables the system to perform effectively to better …

Data on people's daily activities are being collected as big data and then mined for
corporate and public purposes. However, concern about privacy is the major obstacle to …

Although social media are important communication infrastructures, they cause serious
privacy problems. Although social media accounts are often anonymized to protect the …