|
| [22] | Semantics-aware mechanisms for control-flow anonymization in process mining (Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, and Matthias Weidlich), In Inf. Syst., volume 114, 2023. |
| [21] | Hiding in the forest: Privacy-preserving process performance indicators (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, and Matthias Weidlich), In Inf. Syst., volume 112, 2023. |
| [20] | Optimal event log sanitization for privacy-preserving process mining (Stephan A. Fahrenkrog-Petersen, Han van der Aa, and Matthias Weidlich), In Data & Knowledge Engineering, volume 145, 2023. |
| [19] | Privacy Attacks on Schedule-Driven Data (Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, and Matthias Weidlich), In The Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Washington DC, USA, February 7 - 14, 2023, AAAI Press, 2023. |
| [18] | PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization (Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, and Shangping Ren), In 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, Springer, 2023. |
|
| [17] | PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract) (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Glenn Dittmann, and Matthias Weidlich), In Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022 (Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl, eds.), CEUR-WS.org, volume 3299, 2022. |
| [16] | Privacy-Preserving Process Mining with PM4Py (Extended Abstract) (Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, and Matthias Weidlich), In Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022 (Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl, eds.), CEUR-WS.org, volume 3299, 2022. |
| [15] | Fire now, fire later: alarm-based systems for prescriptive process monitoring (Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, and Matthias Weidlich), In Knowl. Inf. Syst., volume 64, 2022. |
| [14] | 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. |
|
| [13] | A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning (Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, and Matthias Weidlich), In Business Process Management Workshops - BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers (Andrea Marrella, Barbara Weber, eds.), Springer, volume 436, 2021. |
| [12] | Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms (Martin Kabierski, Stephan A. Fahrenkrog-Petersen, and Matthias Weidlich), In Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 - July 2, 2021, Proceedings (Marcello La Rosa, Shazia W. Sadiq, Ernest Teniente, eds.), Springer, volume 12751, 2021. |
| [11] | SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining (Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, and Matthias Weidlich), In 3rd International Conference on Process Mining, ICPM 2021, Eindhoven, The Netherlands, October 31 - Nov. 4, 2021 (Claudio Di Ciccio, Chiara Di Francescomarino, Pnina Soffer, eds.), IEEE, 2021. |
|
| [10] | Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining (Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, and Matthias Weidlich), In Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), Sevilla, Spain, September 13-18, 2020 (Wil M. P. van der Aalst, Jan vom Brocke, Marco Comuzzi, Claudio Di Ciccio, Félix García, Akhil Kumar, Jan Mendling, Brian T. Pentland, Luise Pufahl, Manfred Reichert, Mathias Weske, eds.), CEUR-WS.org, volume 2673, 2020. |
| [9] | PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information (Stephan A. Fahrenkrog-Petersen, Han van der Aa, and Matthias Weidlich), In Business Process Management - 18th International Conference, BPM 2020, Seville, Spain, September 13-18, 2020, Proceedings (Dirk Fahland, Chiara Ghidini, Jörg Becker, Marlon Dumas, eds.), Springer, volume 12168, 2020. |
| [8] | Secure Multi-party Computation for Inter-organizational Process Mining (Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, and Matthias Weidlich), In Enterprise, Business-Process and Information Systems Modeling - 21st International Conference, BPMDS 2020, 25th International Conference, EMMSAD 2020, Held at CAiSE 2020, Grenoble, France, June 8-9, 2020, Proceedings (Selmin Nurcan, Iris Reinhartz-Berger, Pnina Soffer, Jelena Zdravkovic, eds.), Springer, volume 387, 2020. |
| [7] | 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. |
| [6] | 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. |
|
| [5] | 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. |
| [4] | Providing Privacy Guarantees in Process Mining (Stephan A. Fahrenkrog-Petersen), In Proceedings of the Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019), Rome, Italy, June 3-7, 2019 (Marcello La Rosa, Pierluigi Plebani, Manfred Reichert, eds.), CEUR-WS.org, volume 2370, 2019. |
| [3] | PRETSA: Event Log Sanitization for Privacy-aware Process Discovery (Stephan A. Fahrenkrog-Petersen, Han van der Aa, and Matthias Weidlich), In International Conference on Process Mining, ICPM 2019, Aachen, Germany, June 24-26, 2019, IEEE, 2019. |
| [2] | PRETSA: Event Log Sanitization for Privacy-aware Process Discovery - (Extended Abstract) (Stephan A. Fahrenkrog-Petersen, Han van der Aa, and Matthias Weidlich), In Inform. Spektrum, volume 42, 2019. |
|
| [1] | Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes (Stephan A. Fahrenkrog-Petersen and Matthias Weidlich), In 48. Jahrestagung der Gesellschaft für Informatik, Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, INFORMATIK 2018 - Workshops, Berlin, Germany, September 26-27, 2018 (Christian Czarnecki, Carsten Brockmann, Eldar Sultanow, Agnes Koschmider, Annika Selzer, eds.), GI, volume P-285, 2018. |