Katharina Dietz
Orcid: 0009-0000-1658-4539Affiliations:
- University of Würzburg, Institute of Computer Science, Germany
According to our database1,
Katharina Dietz
authored at least 12 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Netw. Serv. Manag., June, 2024
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., February, 2024
The Missing Link in Network Intrusion Detection: Taking AI/ML Research Efforts to Users.
IEEE Access, 2024
Proceedings of the 8th Network Traffic Measurement and Analysis Conference, 2024
Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks.
Proceedings of the 20th International Conference on Network and Service Management, 2024
Proceedings of the 20th International Conference on Network and Service Management, 2024
2023
Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls.
Proceedings of the NOMS 2023, 2023
2022
Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2022
ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022
Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies.
Proceedings of the 18th International Conference on Network and Service Management, 2022
2021
High Performance Network Metadata Extraction Using P4 for ML-based Intrusion Detection Systems.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021
2020
Simulative Evaluation of KPIs in SDN for Topology Classification and Performance Prediction Models.
Proceedings of the 16th International Conference on Network and Service Management, 2020