6 citations · 9 across the 10 of their papers we have counts for
12 papers
End-to-End Verifiable and Robust Federated Learning
Doryan Lesaignoux, Enrique Mármol Campos, Gabriele Spini +2
Federated learning enables multiple parties to train a shared model without centralizing raw data with the help of an aggregator, but introduces integrity risks once participants o…
bpK#: Delegatable Pseudonyms And Their Applications to National eID Systems
Stephan Krenn, Doryan Lesaignoux, Sebastian Ramacher
Electronic identities (eIDs) are crucial in an increasingly digitalized environment. Pseudonyms, as offered by Austria's governmental sector-specific personal identifiers (bPks), c…
Topology-Hiding Connectivity-Assurance for QKD Inter-Networking
Margherita Cozzolino, Stephan Krenn, Thomas Lorünser
While QKD ensures information-theoretic security at the link level, real-world deployments depend on trusted repeaters, creating potential vulnerabilities. In this paper, we thus i…
Topology-Hiding Path Validation for Large-Scale Quantum Key Distribution Networks
Stephan Krenn, Omid Mir, Thomas Lorünser +2
Secure long-distance communication in quantum key distribution (QKD) networks depends on trusted repeater nodes along the entire transmission path. Consequently, these nodes will b…
QoeSiGN: Towards Qualified Collaborative eSignatures
Karl W. Koch, Stephan Krenn, Alexandra Hofer
eSignatures ensure data's authenticity, non-repudiation, and integrity. EU's eIDAS regulation specifies, e.g., advanced and qualified (QES) eSignatures. While eSignatures' concrete…
Secure Computation and Trustless Data Intermediaries in Data Spaces
Christoph Fabianek, Stephan Krenn, Thomas Loruenser +1
This paper explores the integration of advanced cryptographic techniques for secure computation in data spaces to enable secure and trusted data sharing, which is essential for the…
Protecting Privacy in Federated Time Series Analysis: A Pragmatic Technology Review for Application Developers
Daniel Bachlechner, Ruben Hetfleisch, Stephan Krenn +2
The federated analysis of sensitive time series has huge potential in various domains, such as healthcare or manufacturing. Yet, to fully unlock this potential, requirements impose…
On the Security of Offloading Post-Processing for Quantum Key Distribution
Thomas Loruenser, Stephan Krenn, Christoph Pacher +1
Quantum key distribution (QKD) has been researched for almost four decades and is currently making its way to commercial applications. However, deployment of the technology at scal…
Microsoft Defender Will Be Defended: MemoryRanger Prevents Blinding Windows AV
Denis Pogonin, Igor Korkin
Windows OS is facing a huge rise in kernel attacks. An overview of popular techniques that result in loading kernel drivers will be presented. One of the key targets of modern thre…
A Verifiable Multiparty Computation Solver for the Assignment Problem and Applications to Air Traffic Management
Thomas Loruenser, Florian Wohner, Stephan Krenn
The assignment problem is an essential problem in many application fields and frequently used to optimize resource usage. The problem is well understood and various efficient algor…
Privacy-preserving Analytics for Data Markets using MPC
Karl Koch, Stephan Krenn, Donato Pellegrino +1
Data markets have the potential to foster new data-driven applications and help growing data-driven businesses. When building and deploying such markets in practice, regulations su…
Towards Privacy in Geographic Message Dissemination for Connected Vehicles
Stefan Ruehrup, Stephan Krenn
With geographic message dissemination, connected vehicles can be served with traffic information in their proximity, thereby positively impacting road safety, traffic management, o…