[8] | SpeciAL4PM: Species Analysis of Event Logs for Process Mining (Martin Kabierski, Christian Imenkamp, Agnes Koschmider, and Matthias Weidlich), In Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2024 co-located with 22nd International Conference on Business Process Management (BPM 2024), Krakow, Poland, September 1st to 6th, 2024 (Adela del-Río-Ortega, Marco Montali, Stefanie Rinderle-Ma, Hajo A. Reijers, Jan vom Brocke, Mathias Weske, Benoît Depaire, Marta Indulska, Han van der Aa, Weronika T. Adrian, Laura Genga, Sander J. J. Leemans, Katarzyna Gdowska, María Teresa Gómez-López, Jana-Rebecca Rehse, Simone Agostinelli, eds.), CEUR-WS.org, volume 3758, 2024. |
[7] | 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. |
[6] | 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. |
[5] | 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. |
[4] | 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. |
[3] | 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. |
[2] | Process Analytics over IoT-based Event Streams with Privacy Guarantees (Agnes Koschmider, Martin Degeling, and Matthias Weidlich), In Inform. Spektrum, volume 42, 2019. |
[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. |