Katharina Dietz

15 papers B 7C 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Exploring the application of Time Series Foundation Models to network monitoring tasks.
Comput. Networks
Nikolas Wehner, Pedro Casas, Katharina Dietz, Stefan Geißler, Tobias Hoßfeld, Michael Seufert
2025 B conf
Irreconcilable Differences? Investigating Consensus of Post-hoc XAI for ML-NIDS via Decomposition.
CNSM
Katharina Dietz, Johannes Schleicher, Stefan Geißler, Michael Seufert, Tobias Hoßfeld
2025 — conf
Towards Detecting Traffic Changes in Real-World Heterogeneous Multi-Cloud Environments.
RNDM
Marleen Sichermann, Katharina Dietz, Leticia Serejo Kunz, Jochen Kögel, Stefan Geißler, Tobias Hoßfeld
2024 B conf
Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS.
CNSM
Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geißler, Pedro Casas, Michael Seufert, Tobias Hoßfeld
2024 B conf
Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks.
CNSM
Katharina Dietz, Mehrdad Hajizadeh, Nikolas Wehner, Stefan Geißler, Pedro Casas, Michael Seufert, Tobias Hoßfeld
2024 — conf
HALIDS: a Hardware-Assisted Machine Learning IDS for in-Network Monitoring.
TMA
Belén Brandino, Eduardo Grampín, Katharina Dietz, Nikolas Wehner, Michael Seufert, Tobias Hoßfeld, Pedro Casas
2024 J jnl
Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale.
IEEE Trans. Netw. Serv. Manag.
Michael Seufert, Katharina Dietz, Nikolas Wehner, Stefan Geißler, Joshua Schüler, Manuel Wolz, Andreas Hotho, Pedro Casas, Tobias Hoßfeld, Anja Feldmann
2024 J jnl
The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users.
IEEE Access
Katharina Dietz, Michael Mühlhauser, Jochen Kögel, Stephan Schwinger, Marleen Sichermann, Michael Seufert, Dominik Herrmann, Tobias Hoßfeld
2024 J jnl
Want More WANs? Comparison of Traditional and GAN-Based Generation of Wide Area Network Topologies via Graph and Performance Metrics.
IEEE Trans. Netw. Serv. Manag.
Katharina Dietz, Michael Seufert, Tobias Hoßfeld
2023 B conf
Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls.
NOMS
Katharina Dietz, Nicholas Gray, Manuel Wolz, Claas Lorenz, Tobias Hoßfeld, Michael Seufert
2022 J jnl
Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?
Electron. Commun. Eur. Assoc. Softw. Sci. Technol.
Katharina Dietz, Michael Mühlhauser, Michael Seufert, Nicholas Gray, Tobias Hoßfeld, Dominik Herrmann
2022 B conf
Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies.
CNSM
Katharina Dietz, Michael Seufert, Tobias Hoßfeld
2022 B conf
ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks.
NOMS
Katharina Dietz, Nicholas Gray, Michael Seufert, Tobias Hossfeld
2021 C conf
High Performance Network Metadata Extraction Using P4 for ML-based Intrusion Detection Systems.
HPSR
Nicholas Gray, Katharina Dietz, Michael Seufert, Tobias Hossfeld
2020 B conf
Simulative Evaluation of KPIs in SDN for Topology Classification and Performance Prediction Models.
CNSM
Nicholas Gray, Katharina Dietz, Tobias Hoßfeld