Stephan A. Fahrenkrog-Petersen

According to our database, Stephan A. Fahrenkrog-Petersen authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Optimal event log sanitization for privacy-preserving process mining.

Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

Data Knowl. Eng., May, 2023

Semantics-aware mechanisms for control-flow anonymization in process mining.

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich

Inf. Syst., March, 2023

Anonymization Techniques for Privacy-preserving Process Mining.

Stephan A. Fahrenkrog-Petersen

PhD thesis, 2023

Hiding in the forest: Privacy-preserving process performance indicators.

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich

Inf. Syst., 2023

PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization.

Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren

Proceedings of the Advanced Information Systems Engineering, 2023

Privacy Attacks on Schedule-Driven Data.

Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, Matthias Weidlich

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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, Leopold von Waldthausen

ACM Trans. Manag. Inf. Syst., 2022

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, Matthias Weidlich

Knowl. Inf. Syst., 2022

Privacy-Preserving Process Mining with PM4Py (Extended Abstract).

Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Han van der Aa, Matthias Weidlich

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

PaPPI: Privacy-aware Process Performance Indicators (Extended Abstract).

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Glenn Dittmann, Matthias Weidlich

Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), 2022

2021

SaCoFa: Semantics-aware Control-flow Anonymization for Process Mining.

Stephan A. Fahrenkrog-Petersen, Martin Kabierski, Fabian Rösel, Han van der Aa, Matthias Weidlich

Proceedings of the 3rd International Conference on Process Mining, 2021

Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms.

Martin Kabierski, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich

Proceedings of the Advanced Information Systems Engineering, 2021

A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning.

Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

Proceedings of the Business Process Management Workshops, 2021

2020

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, Matthias Weidlich

EMISA Forum, 2020

Quantifying the Re-identification 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, Matthias Weidlich

CoRR, 2020

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, Matthias Weidlich

Proceedings of the Advanced Information Systems Engineering, 2020

Secure Multi-party Computation for Inter-organizational Process Mining.

Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2020

PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information.

Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

Proceedings of the Business Process Management - 18th International Conference, 2020

Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining.

Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich

Proceedings of the Best Dissertation Award, 2020

2019

PRETSA: Event Log Sanitization for Privacy-aware Process Discovery - (Extended Abstract).

Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

Inform. Spektrum, 2019

PRETSA: Event Log Sanitization for Privacy-aware Process Discovery.

Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich

Proceedings of the International Conference on Process Mining, 2019

Providing Privacy Guarantees in Process Mining.

Stephan A. Fahrenkrog-Petersen

Proceedings of the Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019), 2019

ELPaaS: Event Log Privacy as a Service.

Martin Bauer, Stephan A. Fahrenkrog-Petersen, Agnes Koschmider, Felix Mannhardt, Han van der Aa, Matthias Weidlich

Proceedings of the Dissertation Award, 2019

2018

Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes.

Stephan A. Fahrenkrog-Petersen, Matthias Weidlich

Proceedings of the 48. Jahrestagung der Gesellschaft für Informatik, Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, INFORMATIK 2018, 2018