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Saskia Nuñez von Voigt
Saskia Nuñez von Voigt
Verified email at tu-berlin.de
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Cited by
Year
Privacy and confidentiality in process mining: Threats and research challenges
G Elkoumy, SA Fahrenkrog-Petersen, MF Sani, A Koschmider, ...
ACM Transactions on Management Information System (TMIS) 13 (1), 1-17, 2021
482021
Quantifying the Re-identification Risk of Event Logs for Process Mining
S Nuñez von Voigt, SA Fahrenkrog-Petersen, D Janssen, A Koschmider, ...
CAiSE 2020: Advanced Information Systems Engineering, 252-267, 2020
34*2020
Towards explaining epsilon: A worst-case study of differential privacy risks
L Mehner, SN von Voigt, F Tschorsch
2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2021
172021
RRTxFM: Probabilistic Counting for Differentially Private Statistics
S Nunez von Voigt, F Tschorsch
Digital Transformation for a Sustainable Society in the 21st Century. I3E …, 2020
102020
Am I Private and If So, How Many? Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats
D Franzen, S Nuñez von Voigt, P Sörries, F Tschorsch, C Müller-Birn
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
82022
" Am I Private and If So, how Many?"--Using Risk Communication Formats for Making Differential Privacy Understandable
D Franzen, SN von Voigt, P Sörries, F Tschorsch, C Müller-Birn
arXiv preprint arXiv:2204.04061, 2022
52022
Every query counts: Analyzing the privacy loss of exploratory data analyses
S Nuñez von Voigt, M Pauli, J Reichert, F Tschorsch
Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS …, 2020
32020
Self-determined reciprocal recommender systemwith strong privacy guarantees
S Nuñez von Voigt, E Daniel, F Tschorsch
Proceedings of the 16th International Conference on Availability …, 2021
22021
From Theory to Comprehension: A Comparative Study of Differential Privacy and -Anonymity
SN von Voigt, L Mehner, F Tschorsch
arXiv preprint arXiv:2404.04006, 2024
12024
Analyzing Continuous K-Anonymization for Smart Meter Data
C Brunn, SN von Voigt, F Tschorsch
European Symposium on Research in Computer Security, 272-282, 2023
12023
From Theory to Comprehension: A Comparative Study of Differential Privacy and -Anonymity
S Nuñez von Voigt, L Mehner, F Tschorsch
arXiv e-prints, arXiv: 2404.04006, 2024
2024
Towards mobility reports with user-level privacy
A Kapp, S Nuñez von Voigt, H Mihaljević, F Tschorsch
Journal of Location Based Services 17 (2), 95-121, 2023
2023
Self-Determined Reciprocal Recommender System with Strong Privacy Guarantees
S Nuñez von Voigt, E Daniel, F Tschorsch
arXiv e-prints, arXiv: 2107.06590, 2021
2021
AnyPPA: Anonymous predictive people analytics; rechtskonforme und transparente Anonymisierung von Beschäftigtendaten: Sachbericht zum Teilvorhaben: Laufzeit: 01.10. 2018-30.09 …
SN von Voigt, E Daniel, F Tschorsch
Technische Universität Berlin, 2021
2021
Quantifying the Re-identication Risk of Event Logs for Process Mining
SN von Voigt, SA Fahrenkrog-Petersen, D Janssen, A Koschmider, ...
EMISA Forum 40 (1), 23-24, 2020
2020
Analyzing Continuous ks-Anonymizationfor Smart Meter Data
C Brunn, SN von Voigt, F Tschorsch
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