output
20132025
most citedReCon: Revealing and Controlling PII Leaks in Mobile Network Traffic

211 citations

18 papers

cs.CR2025

Hey there! You are using WhatsApp: Enumerating Three Billion Accounts for Security and Privacy

Gabriel K. Gegenhuber, Philipp É. Frenzel, Maximilian Günther +2

WhatsApp, with 3.5 billion active accounts as of early 2025, is the world's largest instant messaging platform. Given its massive user base, WhatsApp plays a critical role in globa…

cs.CY2024★ 3 cited

U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI

Tanja Šarčević, Alicja Karlowicz, Rudolf Mayer +2

Large Generative AI (GAI) models have the unparalleled ability to generate text, images, audio, and other forms of media that are increasingly indistinguishable from human-generate…

cs.NI2024★ 2 cited

Why E.T. Can't Phone Home: A Global View on IP-based Geoblocking at VoWiFi

Gabriel Karl Gegenhuber, Philipp Frenzel, Edgar Weippl

In current cellular network generations (4G, 5G) the IMS (IP Multimedia Subsystem) plays an integral role in terminating voice calls and short messages. Many operators use VoWiFi (…

cs.SE2024★ 10 cited

Investigating the Readability of Test Code: Combining Scientific and Practical Views

Dietmar Winkler, Pirmin Urbanke, Rudolf Ramler

The readability of source code is key for understanding and maintaining software systems and tests. Several studies investigate the readability of source code, but there is limited…

cs.CR2023★ 22 cited

Security-Enhancing Digital Twins: Characteristics, Indicators, and Future Perspectives

Matthias Eckhart, Andreas Ekelhart, David Allison +6

The term "digital twin" (DT) has become a key theme of the cyber-physical systems (CPSs) area, while remaining vaguely defined as a virtual replica of an entity. This article ident…

cs.LG2023★ 35 cited

Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks

Isabell Lederer, Rudolf Mayer, Andreas Rauber

The commercial use of Machine Learning (ML) is spreading; at the same time, ML models are becoming more complex and more expensive to train, which makes Intellectual Property Prote…