piwik-script

Deutsch Intern
  • [Translate to Englisch:]
Chair of Computer Science III

Katharina Dietz M. Sc.

Telefon (0931) 31-87343 (im Moment nicht besetzt, bitte per Mail melden)
E-Mail katharina.dietz@informatik.uni-wuerzburg.de
Raum A212

Anschrift

Lehrstuhl für Informatik III
Am Hubland
D-97074 Würzburg

Research Interests

Some of my research interests include the following:

  • Everything related to network management, e.g., performance prediction or anomaly detection
  • Machine Learning (ML) in communication networks, including but not limited to
    • Data synthetization via Generative Adversarial Networks (GANs)
    • Transfer Learning mechanisms
    • Active Learning mechanisms
    • Uncertainty in ML
  • Network simulation with OMNeT++ and other tools
  • Statistics evaluation and ML in R and Python

Open theses can be found here. Note that a lot of these topics can be tailored to either bachelor theses, master theses or student projects.

2023[ to top ]
  • Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls Dietz, Katharina; Gray, Nicholas; Wolz, Manuel; Lorenz, Claas; Hoßfeld, Tobias; Seufert, Michael in 34th IEEE/IFIP Network Operations and Management Symposium (NOMS) (2023).
2022[ to top ]
  • Comparing Traditional and GAN-based Approaches for the Synthesis of Wide Area Network Topologies Dietz, Katharina; Seufert, Michael; Hoßfeld, Tobias in 18th International Conference on Network and Service Management (CNSM) (2022).
  • ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks Dietz, Katharina; Gray, Nicholas; Seufert, Michael; Hoßfeld, Tobias in 33th IEEE/IFIP Network Operations and Management Symposium (NOMS) (2022).
2021[ to top ]
  • Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy? Dietz, Katharina; Mühlhauser, Michael; Seufert, Michael; Gray, Nicholas; Hoßfeld, Tobias; Herrmann, Dominik in 1st International Workshop on Machine Learning in Networking (MaLeNe) (2021).
  • High Performance Network Metadata Extraction Using P4 for ML-Based Intrusion Detection Systems Gray, Nicholas; Dietz, Katharina; Seufert, Michael; Hoßfeld, Tobias in 22nd International Conference on High Performance Switching and Routing (HPSR) (2021).
2020[ to top ]
  • Identification and Evaluation of KPIs in SDN via Simulation for Establishing Topology Classifications and Prediction Models Dietz, Katharina PhD thesis, University of Würzburg. (2020, January).
  • Simulative Evaluation of KPIs in SDN for Topology Classification and Performance Prediction Models Gray, Nicholas; Dietz, Katharina; Hoßfeld, Tobias in 2020 16th International Conference on Network and Service Management (CNSM) (2020).
2019[ to top ]
  • Extending the OpenFlow OMNeT++ Suite Dietz, Katharina PhD thesis, University of Würzburg. (2019, February).