Stephan A. Fahrenkrog-Petersen

Orcid: 0000-0002-1863-8390

Affiliations:
  • Humboldt-Universität zu Berlin, Germany


According to our database1, Stephan A. Fahrenkrog-Petersen authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Towards Nudging in BPM: A Human-Centric Approach for Sustainable Business Processes.
CoRR, 2024

Control-flow Reconstruction Attacks on Business Process Models.
CoRR, 2024

Unlocking Sustainability Compliance: Characterizing the EU Taxonomy for Business Process Management.
CoRR, 2024

Unraveling the Never-Ending Story of Lifecycles and Vitalizing Processes.
CoRR, 2024

Privacy-Aware Analysis based on Data Series.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Anonymization Techniques for Privacy-preserving Process Mining.
Proceedings of the Best Dissertation Award, 2024

2023
Optimal event log sanitization for privacy-preserving process mining.
Data Knowl. Eng., May, 2023

Semantics-aware mechanisms for control-flow anonymization in process mining.
Inf. Syst., March, 2023

Anonymization Techniques for Privacy-preserving Process Mining.
PhD thesis, 2023

Hiding in the forest: Privacy-preserving process performance indicators.
Inf. Syst., 2023

PMDG: Privacy for Multi-perspective Process Mining Through Data Generalization.
Proceedings of the Advanced Information Systems Engineering, 2023

Privacy Attacks on Schedule-Driven Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Privacy and Confidentiality in Process Mining: Threats and Research Challenges.
ACM Trans. Manag. Inf. Syst., 2022

Fire now, fire later: alarm-based systems for prescriptive process monitoring.
Knowl. Inf. Syst., 2022

Privacy-Preserving Process Mining with PM4Py (Extended Abstract).
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).
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.
Proceedings of the 3rd International Conference on Process Mining, 2021

Privacy-Aware Process Performance Indicators: Framework and Release Mechanisms.
Proceedings of the Advanced Information Systems Engineering, 2021

A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning.
Proceedings of the Business Process Management Workshops, 2021

2020
Quantifying the Re-identication Risk of Event Logs for Process Mining.
EMISA Forum, 2020

Quantifying the Re-identification Risk of Event Logs for Process Mining.
CoRR, 2020

Quantifying the Re-identification Risk of Event Logs for Process Mining - Empiricial Evaluation Paper.
Proceedings of the Advanced Information Systems Engineering, 2020

Secure Multi-party Computation for Inter-organizational Process Mining.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2020

PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information.
Proceedings of the Business Process Management - 18th International Conference, 2020

Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining.
Proceedings of the Best Dissertation Award, 2020

2019
PRETSA: Event Log Sanitization for Privacy-aware Process Discovery - (Extended Abstract).
Inform. Spektrum, 2019

PRETSA: Event Log Sanitization for Privacy-aware Process Discovery.
Proceedings of the International Conference on Process Mining, 2019

Providing Privacy Guarantees in Process Mining.
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.
Proceedings of the Dissertation Award, 2019

2018
Folding Marked Generalized Stochastic Petri Nets for Time Prediction in Business Processes.
Proceedings of the 48. Jahrestagung der Gesellschaft für Informatik, Architekturen, Prozesse, Sicherheit und Nachhaltigkeit, INFORMATIK 2018, 2018


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