The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …

The protection of user privacy in the digital age has become an important concern with the
increase in data-driven technologies. These technologies generate large amounts of user …

Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …

The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal
for advancing research to understand the underlying causes and implement effective …

Protecting user data privacy can be achieved via many methods, from statistical
transformations to generative models. However, all of them have critical drawbacks. For …

Throughout the COVID-19 pandemic, schools, clinics, businesses, churches, and community
organizations have struggled to provide services, support social interaction and …

Organisations rely on analytical data to improve decision-making and service delivery, often
sharing this data with external entities, such as research institutes, to acquire collaboration …

Synthetic data surged as an effort to surpass the quality and privacy barriers that data
possess in current days. Multiple synthetic data generation models emerged in the literature …

The ultimate goal of privacy-preserving data publication is to investigate how to disclose
data while maintaining private information secure, and how to maximize the utility of …