On-device large language models (LLMs), referring to running LLMs on edge devices, have
raised considerable interest since they are more cost-effective, latency-efficient, and privacy …

In the rapidly evolving domain of satellite communications, integrating advanced machine
learning techniques, particularly split learning, is crucial for enhancing data processing and …

Web application firewall (WAF) examines malicious traffic to and from a web application via
a set of security rules. It plays a significant role in securing Web applications against web …

Mobile devices are nowadays ubiquitous. They are equipped with a variety of sensors, each
designed for capturing specific signals which can be exploited to acquire discriminating …

Reproducibility is crucial to the advancement of science; it strengthens confidence in
seemingly contradictory results and expands the boundaries of known discoveries …

Ponzi schemes, a form of scam, have been discovered in Ethereum smart contracts in recent
years, causing massive financial losses. Existing detection methods primarily focus on rule …

Smart contracts, self-executing agreements directly encoded in code, are fundamental to
blockchain technology, especially in decentralized finance (DeFi) and Web3. However, the …

Deep neural networks (DNNs) are increasingly used in critical applications such as identity
authentication and autonomous driving, where robustness against adversarial attacks is …

Blockchain sharding has emerged as a promising solution to the scalability challenges in
traditional blockchain systems by partitioning the network into smaller, manageable subsets …

Cardiovascular disease (CVD) is the leading cause of death and premature mortality
worldwide, with occupational environments significantly influencing CVD risk, underscoring …