RRTxFM: Probabilistic Counting for Differentially Private Statistics. - Saskia Nuñez von Voigt; Florian Tschorsch (I3E Workshops, 2019)

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 001 (CAiSE, 2020)

Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses. - Saskia Nuñez von Voigt; Mira Pauli; Johanna Reichert; Florian Tschorsch (DPM/CBT@ESORICS, 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 001 (CoRR, 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 001 (EMISA Forum, 2020)

Self-Determined Reciprocal Recommender Systemwith Strong Privacy Guarantees. - Saskia Nuñez von Voigt; Erik Daniel; Florian Tschorsch (ARES, 2021)

Towards Explaining Epsilon: A Worst-Case Study of Differential Privacy Risks. - Luise Mehner; Saskia Nuñez von Voigt; Florian Tschorsch (EuroS&P Workshops, 2021)

Self-Determined Reciprocal Recommender System with Strong Privacy Guarantees. - Saskia Nuñez von Voigt; Erik Daniel; Florian Tschorsch (CoRR, 2021)

Am I Private and If So, how Many?: Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats. - Daniel Franzen; Saskia Nuñez von Voigt; Peter Sörries; Florian Tschorsch; Claudia Müller-Birn (CCS, 2022)

Towards Standardized Mobility Reports with User-Level Privacy. - Alexandra Kapp; Saskia Nuñez von Voigt; Helena Mihaljevic; Florian Tschorsch (CoRR, 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)

Analyzing Continuous Ks-Anonymization for Smart Meter Data. - Carolin Brunn; Saskia Nuñez von Voigt; Florian Tschorsch (ESORICS Workshops (1), 2023)

Towards mobility reports with user-level privacy. - Alexandra Kapp; Saskia Nuñez von Voigt; Helena Mihaljevic; Florian Tschorsch (J. Locat. Based Serv., 2023)

From Theory to Comprehension: A Comparative Study of Differential Privacy and k-Anonymity. - Saskia Nuñez von Voigt; Luise Mehner; Florian Tschorsch (CODASPY, 2024)

An applied Perspective: Estimating the Differential Identifiability Risk of an Exemplary SOEP Data Set. - Jonas Allmann; Saskia Nuñez von Voigt; Florian Tschorsch (EuroS&P Workshops, 2024)

From Theory to Comprehension: A Comparative Study of Differential Privacy and k-Anonymity. - Saskia Nuñez von Voigt; Luise Mehner; Florian Tschorsch (CoRR, 2024)

Prink: ks-Anonymization for Streaming Data in Apache Flink. - Philip Groneberg; Saskia Nuñez von Voigt; Thomas Janke; Louis Loechel; Karl Wolf; Elias Grünewald; Frank Pallas (ARES (1), 2025)

Differential privacy unlocked: exploring potentials along the data pipeline. - Saskia Nuñez von Voigt (2025)