| 2025 | CNSM | Irreconcilable Differences? Investigating Consensus of Post-hoc XAI for ML-NIDS via Decomposition. | Katharina Dietz, Johannes Schleicher, Stefan Geiler, Michael Seufert, Tobias Hofeld |
| 2024 | CNSM | Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS. | Katharina Dietz, Mehrdad Hajizadeh, Johannes Schleicher, Nikolas Wehner, Stefan Geiler, Pedro Casas, Michael Seufert, Tobias Hofeld |
| 2024 | CNSM | Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks. | Katharina Dietz, Mehrdad Hajizadeh, Nikolas Wehner, Stefan Geiler, Pedro Casas, Michael Seufert, Tobias Hofeld |
| 2023 | NOMS | Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls. | Katharina Dietz, Nicholas Gray, Manuel Wolz, Claas Lorenz, Tobias Hofeld, Michael Seufert |
| 2022 | CNSM | Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies. | Katharina Dietz, Michael Seufert, Tobias Hofeld |
| 2022 | NOMS | ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks. | Katharina Dietz, Nicholas Gray, Michael Seufert, Tobias Hossfeld |
| 2021 | HPSR | High Performance Network Metadata Extraction Using P4 for ML-based Intrusion Detection Systems. | Nicholas Gray, Katharina Dietz, Michael Seufert, Tobias Hossfeld |
| 2020 | CNSM | Simulative Evaluation of KPIs in SDN for Topology Classification and Performance Prediction Models. | Nicholas Gray, Katharina Dietz, Tobias Hofeld |