Differential privacy has been a de facto privacy standard in defining privacy and handling
privacy preservation. It has had great success in scenarios of local data privacy and …

The rapid development of the internet and smartphones has enabled people to access
numerous information systems and large volumes of data. User profiling technology can …

Integrating multiple online social networks (OSNs) has important implications for many
downstream social mining tasks, such as user preference modelling, recommendation, and …

Existing research in differential privacy, whose applications have exploded across functional
areas in the last few years, describes an intrinsic trade-off between the privacy of a dataset …

The widespread use of voice assistants has generated a vast amount of user voice data,
promoting technologies such as speech recognition but also bringing privacy and security …

Differential Privacy (DP)[45] has been known as a gold standard for data privacy. On one
hand, it defines pairwise secrets not to be distinguishable with the bound of a predefined …