| 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 | 107 | 2020 |
| Locally differentially private frequency estimation with consistency T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li arXiv preprint arXiv:1905.08320, 2019 | 76 | 2019 |
| 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 | 25 | 2022 |
| Information-theoretic metrics for local differential privacy protocols M Lopuhaä-Zwakenberg, B Škorić, N Li arXiv preprint arXiv:1910.07826, 2019 | 19 | 2019 |
| 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 | 19 | 2019 |
| 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 | 11 | 2023 |
| 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 | 10 | 2021 |
| The privacy funnel from the viewpoint of local differential privacy M Lopuhaä-Zwakenberg arXiv preprint arXiv:2002.01501, 2020 | 9 | 2020 |
| 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 | 8 | 2023 |
| 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 | 8 | 2021 |
| Mechanisms for robust local differential privacy M Lopuhaä-Zwakenberg, J Goseling Entropy 26 (3), 233, 2024 | 7 | 2024 |
| : 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 | 6 | 2023 |
| : A Probabilistic Logic for Fault Trees SM Nicoletti, M Lopuhaä-Zwakenberg, EM Hahn, M Stoelinga International Symposium on Formal Methods, 199-221, 2023 | 6 | 2023 |
| Cost-damage analysis of attack trees M Lopuhaä-Zwakenberg, M Stoelinga 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems …, 2023 | 5 | 2023 |
| The Anatolian “ergative” M Lopuhaä-Zwakenberg The Precursors of Proto-Indo-European, 131-150, 2019 | 5 | 2019 |
| Pink’s conjecture on semiabelian varieties M Lopuhaä Master Thesis, 2014 | 5 | 2014 |
| 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 | 4 | 2022 |
| Robust optimization for local differential privacy J Goseling, M Lopuhaä-Zwakenberg 2022 IEEE International Symposium on Information Theory (ISIT), 1629-1634, 2022 | 4 | 2022 |
| 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 | 4 | 2020 |
| Data sanitisation protocols for the privacy funnel with differential privacy guarantees M Lopuhaä-Zwakenberg, H Tong, B Škorić arXiv preprint arXiv:2008.13151, 2020 | 4 | 2020 |
