3 papers
cs.CY2026
A Framework for Using and Evaluating LLMs as Surrogate Experts in Security Surveys: Reliability, Bias, and Implications
Despoina Giarimpampa, Roland Meier, Tegawendé F. Bissyandé +2
Expert surveys are widely used in security research to study practitioner workows and decision-making, yet recruiting domain experts - especially in Security Operations Centres (SO…
cs.MA2025
Multi-Agent Reinforcement Learning in Cybersecurity: From Fundamentals to Applications
Christoph R. Landolt, Christoph Würsch, Roland Meier +2
Multi-Agent Reinforcement Learning (MARL) has shown great potential as an adaptive solution for addressing modern cybersecurity challenges. MARL enables decentralized, adaptive, an…
cs.NI2019
pForest: In-Network Inference with Random Forests
Coralie Busse-Grawitz, Roland Meier, Alexander Dietmüller +2
When classifying network traffic, a key challenge is deciding when to perform the classification, i.e., after how many packets. Too early, and the decision basis is too thin to cla…