The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Privacy-preserving data publishing has been a heated research topic in the last decade.
Numerous ingenious attacks on users' privacy and defensive measures have been …

Machine Learning as a Service (MLaaS) has paved the way for numerous applications for
resource-limited clients, such as IoT/mobile users. However, it raises a great challenge for …

Despite the increasing popularity of mobile applications and the widespread adoption of
encryption techniques, mobile devices are still susceptible to security and privacy risks. In …

With the advent of blockchain networks, there has been a transition from traditional contracts
to Smart Contracts (SCs), which are crucial for maintaining trust within these networks …

Smart contracts (SCs) are crucial in maintaining trust within blockchain networks. However,
existing methods for analyzing SC vulnerabilities often lack accuracy and effectiveness …

Learning vector representations for programs is a critical step in applying deep learning
techniques for program understanding tasks. Various neural network models are proposed …

Despite the increasing popularity of mobile applications and the widespread adoption of
encryption techniques, mobile devices are still susceptible to security and privacy risks. In …