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Milan Lopuhaä-Zwakenberg
Milan Lopuhaä-Zwakenberg
Universitair docent, Universiteit Twente
Verified email at utwente.nl
Title
Cited by
Cited by
Year
Estimating numerical distributions under local differential privacy
Z Li, T Wang, M Lopuhaä-Zwakenberg, N Li, B Škoric
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
792020
Locally differentially private frequency estimation with consistency
T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li
arXiv preprint arXiv:1905.08320, 2019
592019
Consistent and accurate frequency oracles under local differential privacy
T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li
arXiv, 1905.08320 v1, 2019
182019
Information-theoretic metrics for local differential privacy protocols
M Lopuhaä-Zwakenberg, B Škorić, N Li
arXiv preprint arXiv:1910.07826, 2019
162019
Efficient and generic algorithms for quantitative attack tree analysis
M Lopuhaä-Zwakenberg, CE Budde, M Stoelinga
IEEE Transactions on Dependable and Secure Computing, 2022
112022
The privacy funnel from the viewpoint of local differential privacy
M Lopuhaä-Zwakenberg
arXiv preprint arXiv:2002.01501, 2020
92020
Data sanitisation protocols for the privacy funnel with differential privacy guarantees
M Lopuhaä-Zwakenberg, H Tong, B Škorić
arXiv preprint arXiv:2008.13151, 2020
82020
Comparing Classifiers' Performance under Differential Privacy.
M Lopuhaä-Zwakenberg, M Alishahi, J Kivits, J Klarenbeek, ...
SECRYPT, 50-61, 2021
72021
Attack time analysis in dynamic attack trees via integer linear programming
M Lopuhaä-Zwakenberg, M Stoelinga
International Conference on Software Engineering and Formal Methods, 165-183, 2023
62023
The Anatolian “ergative”
M Lopuhaä-Zwakenberg
The Precursors of Proto-Indo-European, 131-150, 2019
52019
Pink’s conjecture on semiabelian varieties
M Lopuhaä
Master Thesis, 2014
52014
: A Probabilistic Logic for Fault Trees
SM Nicoletti, M Lopuhaä-Zwakenberg, EM Hahn, M Stoelinga
International Symposium on Formal Methods, 199-221, 2023
42023
Improving frequency estimation under local differential privacy
M Lopuhaä-Zwakenberg, Z Li, B Škorić, N Li
Proceedings of the 19th Workshop on Privacy in the Electronic Society, 123-135, 2020
42020
: A Logic for Quantitative Security Properties on Attack Trees
SM Nicoletti, M Lopuhaä-Zwakenberg, EM Hahn, M Stoelinga
International Conference on Software Engineering and Formal Methods, 205-225, 2023
32023
Robust local differential privacy
M Lopuhaä-Zwakenberg, J Goseling
2021 IEEE International Symposium on Information Theory (ISIT), 557-562, 2021
32021
The privacy-utility tradeoff of robust local differential privacy
M Lopuhaä-Zwakenberg, J Goseling
arXiv preprint arXiv:2101.09139, 2021
32021
Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy
M Lopuhaä-Zwakenberg, B Škorić, N Li
Proceedings of the 21st Workshop on Privacy in the Electronic Society, 41-53, 2022
22022
Robust optimization for local differential privacy
J Goseling, M Lopuhaä-Zwakenberg
2022 IEEE International Symposium on Information Theory (ISIT), 1629-1634, 2022
22022
Data sanitisation protocols for the privacy funnel with differential privacy guarantees
M Lopuhaä-Zwakenberg, H Tong, B Škorić
International Journal on advances in security 13 (3&4), 162-174, 2021
22021
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Q Li, JS Gundersen, M Lopuhaä-Zwakenberg, R Heusdens
IEEE Transactions on Information Forensics and Security, 2023
12023
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