33 citations · 125 across the 13 of their papers we have counts for
14 papers
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers
Arthur Drichel, Ulrike Meyer
The problem of revealing botnet activity through Domain Generation Algorithm (DGA) detection seems to be solved, considering that available deep learning classifiers achieve accura…
Efficient Privacy-Preserving Approximation of the Kidney Exchange Problem
Malte Breuer, Ulrike Meyer, Susanne Wetzel
The kidney exchange problem (KEP) seeks to find possible exchanges among pairs of patients and their incompatible kidney donors while meeting specific optimization criteria such as…
A Pipeline for DNS-Based Software Fingerprinting
Sebastian Schäfer, Ulrike Meyer
In this paper, we present the modular design and implementation of DONUT, a novel tool for identifying software running on a device. Our tool uses a rule-based approach to detect s…
Solving the Kidney Exchange Problem Using Privacy-Preserving Integer Programming (Updated and Extended Version)
Malte Breuer, Pascal Hein, Leonardo Pompe +3
The kidney exchange problem (KEP) is to find a constellation of exchanges that maximizes the number of transplants that can be carried out for a set of pairs of patients with kidne…
Detecting Unknown DGAs without Context Information
Arthur Drichel, Justus von Brandt, Ulrike Meyer
New malware emerges at a rapid pace and often incorporates Domain Generation Algorithms (DGAs) to avoid blocking the malware's connection to the command and control (C2) server. Cu…
Privacy-Preserving Maximum Matching on General Graphs and its Application to Enable Privacy-Preserving Kidney Exchange
Malte Breuer, Ulrike Meyer, Susanne Wetzel
To this day, there are still some countries where the exchange of kidneys between multiple incompatible patient-donor pairs is restricted by law. Typically, legal regulations in th…