Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

A brain–computer interface (BCI) establishes a direct communication pathway between the
human brain and a computer. It has been widely used in medical diagnosis, rehabilitation …

Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Mobile crowdsensing (MCS) has gained popularity for its potential to leverage individual
mobile devices to sense, collect, and analyze data instead of deploying sensors. As the …

Although cloud storage service enables people easily maintain and manage amounts of
data with lower cost, it cannot ensure the integrity of people's data. In order to audit the …

Firms are often reluctant to share data because of mistrust, concerns over control, and other
risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …

Most educational software programs use and gather personal information and metadata
from students. Additionally, most of the educational software programs are no longer …

Social Media Health Networks provide a promising paradigm to attract patients to share and
communicate their personal health status with other online patients, and consult healthcare …

Abstract The generative Artificial Intelligence (AI) tools based on Large Language Models
(LLMs) use billions of parameters to extensively analyse large datasets and extract critical …

Social networks are considered to be heterogeneous graph neural networks (HGNNs) with
deep learning technological advances. HGNNs, compared to homogeneous data, absorb …