As the Internet has transformed into a critical infrastructure, society has become more
vulnerable to its security flaws. Despite substantial efforts to address many of these …

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

In the current AI era, mobile devices such as smartphones are tasked with executing a
myriad of deep neural networks (DNNs) locally. It presents a complex landscape, as these …

Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …

The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …

Mobile malware detection has attracted massive research effort in our community. A reliable
and up-to-date malware dataset is critical to evaluate the effectiveness of malware detection …

Following OpenAI's introduction of GPTs, a surge in GPT apps has led to the launch of
dedicated LLM app stores. Nevertheless, given its debut, there is a lack of sufficient …

A large number of research studies have been focused on detecting Android malware in
recent years. As a result, a reliable and large-scale malware dataset is essential to build …

Deploying deep learning (DL) on mobile devices has been a notable trend in recent years.
To support fast inference of on-device DL, DL libraries play a critical role as algorithms and …

A new mobile computing paradigm, dubbed mini-app, has been growing rapidly over the
past few years since being introduced by WeChat in 2017. In this paradigm, a host app …