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Demystifying User-based Active Learning for Network Monitoring Tasks

, , , , und . 2nd Workshop on Machine Learning & Networking (MaLeNe) as part of NetSys'23, Potsdam, Germany, (September 2023)

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Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls, , , , , und . NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, Seite 1--7. IEEE, (2023)Demystifying User-based Active Learning for Network Monitoring Tasks, , , , und . 2nd Workshop on Machine Learning & Networking (MaLeNe) as part of NetSys'23, Potsdam, Germany, (September 2023)Identification and Evaluation of KPIs in SDN via Simulation for Establishing Topology Classifications and Prediction Models. University of Würzburg, (Januar 2020)Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?, , , , , und . Electron. Commun. Eur. Assoc. Softw. Sci. Technol., (2022)ML-based Performance Prediction of SDN using Simulated Data from Real and Synthetic Networks., , , und . NOMS, Seite 1-7. IEEE, (2022)Demystifying user-based active learning for network monitoring tasks, , , , und . (2023)Simulative evaluation of KPIs in SDN for topology classification and performance prediction models, , und . 2020 16th International Conference on Network and Service Management (CNSM), Seite 1--9. IEEE, (2020)Moving Down the Stack: Performance Evaluation of Packet Processing Technologies for Stateful Firewalls., , , , , und . NOMS, Seite 1-7. IEEE, (2023)Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?, , , , , und . 1st International Workshop on Machine Learning in Networking (MaLeNe) as part of NetSys'21, Lübeck, Germany (Virtual Conference), (September 2021)Extending the OpenFlow OMNeT++ Suite. University of Würzburg, (Februar 2019)