Although survey results show that the privacy of their personal data is an important issue for
online users worldwide, most users rarely make an effort to protect this data actively and …

With the rapid deployment of Internet of Things (IoT) technologies and the variety of ways in
which IoT-connected sensors collect and use personal data, there is a need for …

Owing to its nature of scalability and privacy by design, federated learning (FL) has received
increasing interest in decentralized deep learning. FL has also facilitated recent research on …

Though web tracking and its privacy implications have received much attention in recent
years, that attention has come relatively recently in the history of the web and lacks full …

Information about the privacy and security of Internet of Things (IoT) devices is not readily
available to consumers who want to consider it before making purchase decisions. While …

Privacy policies are verbose, difficult to understand, take too long to read, and may be the
least-read items on most websites even as users express growing concerns about …

Recent scholarship in philosophy, law, and information systems suggests that respecting
privacy entails understanding the implicit privacy norms about what, why, and to whom …

Amazon Mechanical Turk (MTurk) is a crowdsourcing platform widely used to conduct
behavioral research, including studies of online privacy and security. We studied how well …

Most users of smartphone apps remain unaware of what data about them is being collected,
by whom, and how these data are being used. In this mixed methods investigation, we …

Crowdsourcing platforms such as Amazon Mechanical Turk (MTurk) are popular and widely
used in both academic and non-academic realms, but privacy threats and challenges in …