Privacy visualizations help users understand the privacy implications of using an online
service. Privacy by Design guidelines provide generally accepted privacy standards for …

Mobile sensing refers to the collection of methods by which researchers derive measures of
human behaviours and contexts from the onboard sensors and logs found in smartphones …

Since the advent of personal computing devices, intelligent personal assistants (IPAs) have
been one of the key technologies that researchers and engineers have focused on, aiming …

Deep learning models are increasingly used in mobile applications as critical components.
Unlike the program bytecode whose vulnerabilities and threats have been widely-discussed …

We analyse Stack Overflow (SO) to understand challenges and confusions developers face
while dealing with privacy-related topics. We apply topic modelling techniques to 1,733 …

Privacy information transparency is generally considered desirable and should be enabled
and upheld. It has gained increasing attention giving the emergence of new information …

Various privacy laws require mobile apps to have privacy policies. Questionnaire-based
policy generators are intended to help developers with the task of policy creation. However …

Mobile users spend an extensive amount of time on typing. A more efficient text input
instrument brings a significant enhancement of user experience. Deep learning techniques …

Although app developers are responsible for protecting users' privacy, this task can be very
challenging. In this paper, we present Coconut, an Android Studio plugin that helps …

We present Peekaboo, a new privacy-sensitive architecture for smart homes that leverages
an in-home hub to pre-process and minimize outgoing data in a structured and enforceable …