dr. M.A. Lopuhaä - Zwakenberg (Milan)

Assistant Professor

About Me

Pronunciation: [ˈmilɑn loʷpuˈɦaʔa ˈzʋakəmbɛrχ]

I am an assistant professor at the FMT group, working on the CAESAR project under Mariëlle Stoelinga. My research focuses on mathematical properties of privacy, security and safety metrics and their applications. In particular I have studied differential privacy and its applications in data aggregation, machine learning, and distributed computing. My current research is on metrics for attack trees.


In the past I have also done research on comparative Indo-European linguistics, especially Albanian, and arithmetic algebraic geometry. My PhD thesis was on moduli spaces of abelian varieties.


Engineering & Materials Science
Frequency Estimation
Information Use
Open Data
Arts & Humanities
Riemann Zeta Function
Robust Optimization


Lopuhaä-Zwakenberg, M., Sheikhalishahi, M., Kivits, J., Klarenbeek, J., van der Velde, G-J., & Zannone, N. (2021). Comparing Classifier's Performance under Differential Privacy. In S. D. C. di Vimercati, & P. Samarati (Eds.), Proceedings of the 18th International Conference on Security and Cryptography (pp. 50-61) https://doi.org/10.5220/0010519000500061
Lopuhaä-Zwakenberg, M., Tong, H., & Škorić, B. (2021). Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees. International Journal on advances in security, 13(3&4), 162-174.
Wang, T. , Lopuhaä-Zwakenberg, M., Li, Z., Škorić, B., & Li, N. (2020). Locally Differentially Private Frequency Estimation with Consistency. In Network and Distributed Systems Security Symposium 2020 https://doi.org/10.14722/ndss.2020.24157
Lopuhaä-Zwakenberg, M. (2020). The Privacy Funnel from the Viewpoint of Local Differential Privacy. In ICDS 2020, The Fourteenth International Conference on Digital Society
Lopuhaä-Zwakenberg, M., Li, Z., Škorić, B., & Li, N. (2020). Improving Frequency Estimation under Local Differential Privacy. In WPES'20: Proceedings of the 19th Workshop on Privacy in the Electronic Society (pp. 123-135) https://doi.org/10.1145/3411497.3420215

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Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

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Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 3110
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  3110
P.O. Box 217
7500 AE Enschede
The Netherlands