Simulative Evaluation of KPIs in SDN for Topology Classification and Performance Prediction Models. - Nicholas Gray; Katharina Dietz 001; Tobias Hoßfeld (CNSM, 2020)

High Performance Network Metadata Extraction Using P4 for ML-based Intrusion Detection Systems. - Nicholas Gray; Katharina Dietz 001; Michael Seufert; Tobias Hossfeld (HPSR, 2021)

Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies. - Katharina Dietz 001; Michael Seufert; Tobias Hoßfeld (CNSM, 2022)

ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks. - Katharina Dietz 001; Nicholas Gray; Michael Seufert; Tobias Hossfeld (NOMS, 2022)

Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy? - Katharina Dietz 001; Michael Mühlhauser; Michael Seufert; Nicholas Gray; Tobias Hoßfeld; Dominik Herrmann (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022)

Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls. - Katharina Dietz 001; Nicholas Gray; Manuel Wolz; Claas Lorenz; Tobias Hoßfeld; Michael Seufert (NOMS, 2023)

Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS. - Katharina Dietz 001; Mehrdad Hajizadeh; Johannes Schleicher; Nikolas Wehner; Stefan Geißler; Pedro Casas; Michael Seufert; Tobias Hoßfeld (CNSM, 2024)

Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks. - Katharina Dietz 001; Mehrdad Hajizadeh; Nikolas Wehner; Stefan Geißler; Pedro Casas; Michael Seufert; Tobias Hoßfeld (CNSM, 2024)

HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring. - Belén Brandino; Eduardo Grampín; Katharina Dietz 001; Nikolas Wehner; Michael Seufert; Tobias Hoßfeld; Pedro Casas (TMA, 2024)

The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users. - Katharina Dietz 001; Michael Mühlhauser; Jochen Kögel; Stephan Schwinger; Marleen Sichermann; Michael Seufert; Dominik Herrmann; Tobias Hoßfeld (IEEE Access, 2024)

Want More WANs? Comparison of Traditional and GAN-Based Generation of Wide Area Network Topologies via Graph and Performance Metrics. - Katharina Dietz 001; Michael Seufert; Tobias Hoßfeld (IEEE Trans. Netw. Serv. Manag., 2024)

Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale. - Michael Seufert; Katharina Dietz 001; Nikolas Wehner; Stefan Geißler; Joshua Schüler; Manuel Wolz; Andreas Hotho; Pedro Casas; Tobias Hoßfeld; Anja Feldmann (IEEE Trans. Netw. Serv. Manag., 2024)

Towards Detecting Traffic Changes in Real-World Heterogeneous Multi-Cloud Environments. - Marleen Sichermann; Katharina Dietz 001; Leticia Serejo Kunz; Jochen Kögel; Stefan Geißler; Tobias Hoßfeld (RNDM, 2025)

Exploring the application of Time Series Foundation Models to network monitoring tasks. - Nikolas Wehner; Pedro Casas; Katharina Dietz 001; Stefan Geißler; Tobias Hoßfeld; Michael Seufert (Comput. Networks, 2025)