Digital Twins (DTs) are a conventional and well known concept, proposed in 70s, that are
popular in a broad spectrum of sciences, industry innovations, and consortium alliances …

The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

The publication of a patient's dataset is essential for various medical investigations and
decision-making. Currently, significant focus has been established to protect privacy during …

Nowadays, Machine Learning (ML) systems are widely used in various businesses and are
increasingly being adopted to make decisions that can significantly impact people's lives …

In this article, aiming at a Chinese keyword-based book search service, from a technological
perspective, we propose to modify a user query sequence carefully to confuse the user …

Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

The application of machine learning techniques to large and distributed data archives might
result in the disclosure of sensitive information about the data subjects. Data often contain …

The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …

In the contemporary landscape of rapidly evolving technological advancements and the
increasing prevalence of cyber threats, organizations face a critical imperative to align their …

Technological advances in high throughput platforms for biological systems enable the cost-
efficient production of massive amounts of data, leading life science to the Big Data era. The …