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 …

The rapid developments of the Internet of Things (IoT) and smart mobile devices in recent
years have been dramatically incentivizing the advancement of edge computing. On the one …

Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in
mobile apps for many years due to its role in supporting advertising-based revenue models …

The Internet-of-Things (IoT) has quickly evolved to a new appified era where third-party
developers can write apps for IoT platforms using programming frameworks. Like other …

Software Bills of Materials (SBOMs) have emerged as tools to facilitate the management of
software dependencies, vulnerabilities, licenses, and the supply chain. While significant …

While many studies have looked at privacy properties of the Android and Google Play app
ecosystem, comparatively much less is known about iOS and the Apple App Store, the most …

Many of today's machine learning (ML) systems are built by reusing an array of, often pre-
trained, primitive models, each fulfilling distinct functionality (eg, feature extraction). The …

With the thriving of the mobile app markets, third-party libraries are pervasively integrated in
the Android applications. Third-party libraries provide functionality such as advertisements …

In the age of increasing mobile and smart connectivity, malware poses an ever evolving
threat to individuals, societies and nations. Anti-malware companies are often the first and …

Transfer learning is a popular software reuse technique in the deep learning community that
enables developers to build custom models (students) based on sophisticated pretrained …