Publications - Author: Felix Mannhardt

2022
[6]	Privacy and Confidentiality in Process Mining: Threats and Research Challenges (Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani, Agnes Koschmider, Felix Mannhardt, Saskia Nuñez von Voigt, Majid Rafiei, and Leopold von Waldthausen), In ACM Trans. Manag. Inf. Syst., volume 13, 2022. [bibtex] [pdf] [doi]
2020
[5]	Quantifying the Re-identification Risk of Event Logs for Process Mining - Empiricial Evaluation Paper (Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, and Matthias Weidlich), In Advanced Information Systems Engineering - 32nd International Conference, CAiSE 2020, Grenoble, France, June 8-12, 2020, Proceedings (Schahram Dustdar, Eric Yu, Camille Salinesi, Dominique Rieu, Vik Pant, eds.), Springer, volume 12127, 2020. [bibtex] [pdf] [doi]
[4]	Quantifying the Re-identication Risk of Event Logs for Process Mining (Saskia Nuñez von Voigt, Stephan A. Fahrenkrog-Petersen, Dominik Janssen, Agnes Koschmider, Florian Tschorsch, Felix Mannhardt, Olaf Landsiedel, and Matthias Weidlich), In EMISA Forum, volume 40, 2020. [bibtex] [pdf]
2019
[3]	ELPaaS: Event Log Privacy as a Service (Martin Bauer, Stephan A. Fahrenkrog-Petersen, Agnes Koschmider, Felix Mannhardt, Han van der Aa, and Matthias Weidlich), In Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, September 1-6, 2019 (Benoît Depaire, Johannes De Smedt, Marlon Dumas, Dirk Fahland, Akhil Kumar, Henrik Leopold, Manfred Reichert, Stefanie Rinderle-Ma, Stefan Schulte, Stefan Seidel, Wil M. P. van der Aalst, eds.), CEUR-WS.org, volume 2420, 2019. [bibtex] [pdf]
[2]	Privacy-Preserving Process Mining - Differential Privacy for Event Logs (Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, and Judith Michael), In Bus. Inf. Syst. Eng., volume 61, 2019. [bibtex] [url] [doi]
[1]	Privacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract) (Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, and Judith Michael), In Inform. Spektrum, volume 42, 2019. [bibtex] [url] [doi]