Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Privacy policies are the primary channel through which companies inform users about their
data collection and sharing practices. These policies are often long and difficult to …

Modern smartphone platforms implement permission-based models to protect access to
sensitive data and system resources. However, apps can circumvent the permission model …

We present a scalable dynamic analysis frame-work that allows for the automatic evaluation
of the privacy behaviors of Android apps. We use our system to analyze mobile apps' …

Internet of Things (IoT) platforms often require users to grant permissions to third-party apps,
such as the ability to control a lock. Unfortunately, because few users act based upon, or …

Privacy policies are the primary mechanism by which companies inform users about data
collection and sharing practices. To help users better understand these long and complex …

The app economy is largely reliant on data collection as its primary revenue model. To
comply with legal requirements, app developers are often obligated to notify users of their …

Context: Mobile applications (apps) have become deeply personal, constantly demanding
access to privacy-sensitive information in exchange for more personalized user …

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 …

Identifying privacy-sensitive data leaks by mobile applications has been a topic of great
research interest for the past decade. Technically, such data flows are not “leaks” if they are …