143 citations · 299 across the 23 of their papers we have counts for
5 papers · 1 filter
A Large-scale Temporal Measurement of Android Malicious Apps: Persistence, Migration, and Lessons Learned
Yun Shen, Pierre-Antoine Vervier, Gianluca Stringhini
We study the temporal dynamics of potentially harmful apps (PHAs) on Android by leveraging 8.8M daily on-device detections collected among 11.7M customers of a popular mobile secur…
Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown
Colin C. Ife, Yun Shen, Steven J. Murdoch +1
The malware and botnet phenomenon is among the most significant threats to cybersecurity today. Consequently, law enforcement agencies, security companies, and researchers are cons…
ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices
Yun Shen, Gianluca Stringhini
Android's security model severely limits the capabilities of anti-malware software. Unlike commodity anti-malware solutions on desktop systems, their Android counterparts run as sa…
Understanding Worldwide Private Information Collection on Android
Yun Shen, Pierre-Antoine Vervier, Gianluca Stringhini
Mobile phones enable the collection of a wealth of private information, from unique identifiers (e.g., email addresses), to a user's location, to their text messages. This informat…
Node-Level Membership Inference Attacks Against Graph Neural Networks
Xinlei He, Rui Wen, Yixin Wu +3
Many real-world data comes in the form of graphs, such as social networks and protein structure. To fully utilize the information contained in graph data, a new family of machine l…