With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …

Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …

Differential privacy provides strong privacy preservation guarantee in information sharing.
As social network analysis has been enjoying many applications, it opens a new arena for …

With the advent of the era of big data, privacy issues have been becoming a hot topic in
public. Local differential privacy (LDP) is a state‐of‐the‐art privacy preservation technique …

Local differential privacy (LDP) is an emerging technique for privacy-preserving data
collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be …

Early and accurate detection of network intrusions is crucial to ensure network security and
stability. Existing network intrusion detection methods mainly use conventional machine …

Abstract Natural Language Processing (NLP) transforms human language into machine
language that can be understood by machines through computer technology. Relation …

A key factor in big data analytics and artificial intelligence is the collection of user data from a
large population. However, the collection of user data comes at the price of privacy risks, not …

Classification tasks on labeled graph-structured data have many important applications
ranging from social recommendation to financial modeling. Deep neural networks are …

Hierarchy is an important and commonly observed topological property in real-world graphs
that indicate the relationships between supervisors and subordinates or the organizational …