339 citations
- University of PotsdamDE102 papers
- Karlsruhe Institute of TechnologyDE9 papers
- Technische Universität BerlinDE8 papers
- École PolytechniqueFR6 papers
- Humboldt-Universität zu BerlinDE6 papers
- Icahn School of Medicine at Mount SinaiUS5 papers
- Laboratoire d'Informatique de l'École PolytechniqueFR5 papers
- The University of AdelaideAU5 papers
- University of TwenteNL5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institut Polytechnique de ParisFR4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
14 papers · 1 filter
Does Task Complexity Moderate the Benefits of Liveness? A Controlled Experiment
Patrick Rein, Stefan Ramson, Tom Beckmann +1
Live programming features can be found in a range of programming environments, from individual prototypes to widely used environments. While liveness is generally considered a usef…
Dynamic Network Discovery via Infection Tracing
Ben Bals, Michelle Döring, Nicolas Klodt +1
Researchers, policy makers, and engineers need to make sense of data from spreading processes as diverse as rumor spreading in social networks, viral infections, and water contamin…
Catch Me If You Can: Finding the Source of Infections in Temporal Networks
Ben Bals, Michelle Döring, Nicolas Klodt +1
Source detection (SD) is the task of finding the origin of a spreading process in a network. Algorithms for SD help us combat diseases, misinformation, pollution, and more, and hav…
When Image Generation Goes Wrong: A Safety Analysis of Stable Diffusion Models
Matthias Schneider, Thilo Hagendorff
Text-to-image models are increasingly popular and impactful, yet concerns regarding their safety and fairness remain. This study investigates the ability of ten popular Stable Diff…
The Age of DDoScovery: An Empirical Comparison of Industry and Academic DDoS Assessments
Raphael Hiesgen, Marcin Nawrocki, Marinho Barcellos +14
Motivated by the impressive but diffuse scope of DDoS research and reporting, we undertake a multistakeholder (joint industry-academic) analysis to seek convergence across the best…
The Costs of Pretending That There Are Data-Generating Probability Distributions in the Social World
Benedikt Höltgen, Robert C. Williamson
Machine Learning research, including work promoting fair or equitable algorithms, often relies on the concept of a data-generating probability distribution. The standard presumptio…