The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

AI progress is creating a growing range of risks and opportunities, but it is often unclear how
they should be navigated. In many cases, the barriers and uncertainties faced are at least …

Federated singular value decomposition (SVD) is a foundation for many real-world
distributed applications. Existing federated SVD studies either require external servers …

Trusted execution environment (TEE) is a revolutionary technology that enables secure
remote execution (SRE) of cloud workloads on untrusted server-side computing platforms …

Edge deep learning, a paradigm change reconciling edge computing and deep learning,
facilitates real-time decision making attuned to environmental factors through the close …

In the rapidly evolving landscape of industrial ecosystems, Industrial IoT networks face
increasing security challenges. Traditional security methods often struggle to protect these …

Throughout daily life, individuals partake in various activities such as walking, sitting, and
drinking, often in a random manner. These physical activities generally exhibit similar …

The rapid growth of electronic health (eHealth) systems has led to serious security and
privacy challenges, highlighting the critical importance of protecting sensitive healthcare …

As Android devices become more prevalent, their security risks extend beyond software
vulnerabilities to include critical hardware weaknesses. This paper provides a …

The adoption of wearable technologies, such as smartwatches or wristbands, is rising. End-
users expect to use all of their devices in an interconnected and seamless manner to …