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Most recent publications

• Jan von der Assen, Alberto Huertas Celdran, Jan Marc Lüthi, Jose Mar?a Jorquera Valero, Francisco Enguix, Gerome Bovet, Burkhard Stiller: HyperDtct: Hypervisor-based Ransomware Detection using System Calls; 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, August 2025, pp 1–6.
• Yasin Abdullah, Mohammed B. Alshawki, Peter Ligeti, Wissem Soussi, Burkhard Stiller: Byzantine-Resilient Federated Learning: Evaluating MPC Approaches; 1st Workshop on Hot Topics in Distributed Machine Learning (HotDiML), "IEEE International Conference on Distributed Computing Systems (ICDCS)", Glasgow, Scotland, U.K., July 2025, pp 1–7.
• Stefano Sebastio, Sara Matheu, Antonio Skarmeta, Riccardo Orizio, Dimitris Karras, Daria Schumm, Burkhard Stiller, Rosella Omana Mancilla, Francesca Giampaolo, Simon Tuck, Thomas Bocek, Vincenzo Cuomo, Roland Atoui, Sreedevi Beena, Roberto Nardone, Alessandro Cilardo, Dinesh Sharma, Rohit Bohara, Javier Parra-Domínguez: Cybersecurity Management Throughout the IoT Systems Lifecycle - The CERTIFY Approach; 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI 2024), "Lecture Notes in Networks and Systems (LNNS) Vol. 1198", Lille, France, June 2025, pp 281–290. doi:10.1007/978-3-031-76459-2_26 URL: https://link.springer.com/chapter/10.1007/978-3-031-76459-2_26.
• Alberto Huertas Celdran, Chao Feng, Sabyasachi Banik, Gerome Bovet, Gregorio Martinez Perez, Burkhard Stiller: De-VertiFL: A Solution for Decentralized Vertical Federated Learning; 38th IEEE/IFIP Network Operations and Management Symposium (NOMS 2025), Honolulu, HI, USA, May 2025, pp 1–5.
• Burkhard Stiller: Cybersecurity - An Introductory Overview; UZH Agora Lehrgangsveranstaltung, Zürich, Switzerland, April 2025.
• Nazek Olabi, Michael Vuong: Dimensionality Reduction for Distributed Machine Learning; Universität Zürich, Communication Systems Group, Department of Informatics, Zürich, Switzerland, April 2025, URL: https://files.ifi.uzh.ch/CSG/staff/feng/external/theses/Dimensionality_Reduction_for_Distributed_Machine_Learning.pdf.
• Nicolas Huber: Deploying a Decentralized Federated Learning Platform in Resource-Constrained Devices; Universität Zürich, Communication Systems Group, Department of Informatics, Zürich, Switzerland, April 2025, URL: https://files.ifi.uzh.ch/CSG/staff/feng/external/theses/BA_NicolasHuber.pdf.
• Heqing Ren: Design and Implementation of an MTD-based Mitigation Approach for Membership Inference Attacks; Universität Zürich, Communication Systems Group, Department of Informatics, Zürich, Switzerland, April 2025, URL: https://files.ifi.uzh.ch/CSG/staff/feng/external/theses/heqing_ren_master_thesis.pdf.
• Weijie Niu, Zehao Zhang, Alberto Huertas, Chao Feng, Jan von der Assen, Nasim Nezhadsistani, Burkhard Stiller: DP-Tabula: Differentially Private Synthetic Tabular Data Generation with Large Language Models; 2025 IEEE International Conference on Cyber Security and Resilience (CSR), Chania, Crete, Greece, August 2025, "IEEE CSR 2025 Proceedings", Chania, Crete, Greece, April 2025, pp 1–6.
• Weijie Niu, Alberto Huertas Celdran, Jingjing Li, Burkhard Stiller: Enhancing Synthetic Data Generation for Class Imbalance and Privacy Preservation; 2024 IEEE Internatinoal Conference on Big Data (IEEE BigData 2024), Washington, D.C. United States, April 2025.