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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
1442020
Locally differentially private frequency estimation with consistency
T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li
arXiv preprint arXiv:1905.08320, 2019
1032019
Efficient and generic algorithms for quantitative attack tree analysis
M Lopuhaä-Zwakenberg, CE Budde, M Stoelinga
IEEE Transactions on Dependable and Secure Computing 20 (5), 4169-4187, 2022
402022
Information-theoretic metrics for local differential privacy protocols
M Lopuhaä-Zwakenberg, B Škorić, N Li
arXiv preprint arXiv:1910.07826, 2019
212019
Consistent and accurate frequency oracles under local differential privacy
T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li
arXiv 2019, 1905.08320 v1, 2019
202019
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 19, 1780-1793, 2023
162023
Mechanisms for robust local differential privacy
M Lopuhaä-Zwakenberg, J Goseling
Entropy 26 (3), 233, 2024
142024
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
142023
Comparing Classifier's Performance under Differential Privacy
M Lopuhaä-Zwakenberg, M Sheikhalishahi, J Kivits, J Klarenbeek, ...
18th International Conference on Security and Cryptography, SECRYPT 2021, 50-61, 2021
122021
ATM: a logic for quantitative security properties on attack trees
SM Nicoletti, M Lopuhaä-Zwakenberg, EM Hahn, M Stoelinga
Software and Systems Modeling, 1-21, 2025
112025
: A Probabilistic Logic for Fault Trees
SM Nicoletti, M Lopuhaä-Zwakenberg, EM Hahn, M Stoelinga
International Symposium on Formal Methods, 199-221, 2023
112023
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
102021
Provable privacy advantages of decentralized federated learning via distributed optimization
W Yu, Q Li, M Lopuhaä-Zwakenberg, MG Christensen, R Heusdens
IEEE Transactions on Information Forensics and Security, 2024
92024
Cost-damage analysis of attack trees
M Lopuhaä-Zwakenberg, M Stoelinga
2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023
92023
The privacy funnel from the viewpoint of local differential privacy
M Lopuhaä-Zwakenberg
arXiv preprint arXiv:2002.01501, 2020
82020
Fuzzy quantitative attack tree analysis
TKN Dang, M Lopuhaä-Zwakenberg, M Stoelinga
International Conference on Fundamental Approaches to Software Engineering …, 2024
72024
Robust optimization for local differential privacy
J Goseling, M Lopuhaä-Zwakenberg
2022 IEEE International Symposium on Information Theory (ISIT), 1629-1634, 2022
72022
The Anatolian “ergative”
M Lopuhaä-Zwakenberg
The Precursors of Proto-Indo-European, 131-150, 2019
62019
Optimal spare management via statistical model checking: a case study in research reactors
R Soltani, M Volk, L Diamonte, M Lopuhaä-Zwakenberg, M Stoelinga
International Journal on Software Tools for Technology Transfer, 1-16, 2025
52025
Safety-Security Analysis via Attack-Fault-Defense Trees: Semantics and Cut Set Metrics
R Soltani, M Lopuhaä-Zwakenberg, M Stoelinga
International Conference on Computer Safety, Reliability, and Security, 218-232, 2024
52024
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Articles 1–20