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Milan Lopuhaä-Zwakenberg
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Journal Articles
- 2024
- [j3]Milan Lopuhaä-Zwakenberg, Jasper Goseling:
Mechanisms for Robust Local Differential Privacy. Entropy 26(3): 233 (2024) - [j2]Qiongxiu Li, Jaron Skovsted Gundersen, Milan Lopuhaä-Zwakenberg, Richard Heusdens:
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus. IEEE Trans. Inf. Forensics Secur. 19: 1780-1793 (2024) - 2023
- [j1]Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga:
Efficient and Generic Algorithms for Quantitative Attack Tree Analysis. IEEE Trans. Dependable Secur. Comput. 20(5): 4169-4187 (2023)
Conference and Workshop Papers
- 2024
- [c15]Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Fuzzy quantitative attack tree analysis. FASE 2024: 210-231 - [c14]Milan Lopuhaä-Zwakenberg:
Fault Tree Reliability Analysis via Squarefree Polynomials. MODELSWARD 2024: 39-49 - 2023
- [c13]Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Cost-Damage Analysis of Attack Trees. DSN 2023: 545-558 - [c12]Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga:
sfPFL: A Probabilistic Logic for Fault Trees. FM 2023: 199-221 - [c11]Reza Soltani, Matthias Volk, Leonardo Diamonte, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Optimal Spare Management via Statistical Model Checking: A Case Study in Research Reactors. FMICS 2023: 205-223 - [c10]Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Attack Time Analysis in Dynamic Attack Trees via Integer Linear Programming. SEFM 2023: 165-183 - [c9]Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga:
sfATM: A Logic for Quantitative Security Properties on Attack Trees. SEFM 2023: 205-225 - 2022
- [c8]Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Richard Heusdens, Mads Græsbøll Christensen:
Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization. EUSIPCO 2022: 2166-2170 - [c7]Jasper Goseling, Milan Lopuhaä-Zwakenberg:
Robust Optimization for Local Differential Privacy. ISIT 2022: 1629-1634 - [c6]Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy. WPES@CCS 2022: 41-53 - 2021
- [c5]Milan Lopuhaä-Zwakenberg, Jasper Goseling:
Robust Local Differential Privacy. ISIT 2021: 557-562 - [c4]Milan Lopuhaä-Zwakenberg, Mina Alishahi, Jeroen Kivits, Jordi Klarenbeek, Gert-Jan van der Velde, Nicola Zannone:
Comparing Classifiers' Performance under Differential Privacy. SECRYPT 2021: 50-61 - 2020
- [c3]Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Locally Differentially Private Frequency Estimation with Consistency. NDSS 2020 - [c2]Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Ninghui Li, Boris Skoric:
Estimating Numerical Distributions under Local Differential Privacy. SIGMOD Conference 2020: 621-635 - [c1]Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Improving Frequency Estimation under Local Differential Privacy. WPES@CCS 2020: 123-135
Informal and Other Publications
- 2024
- [i20]Milan Lopuhaä-Zwakenberg:
Attack tree metrics are operad algebras. CoRR abs/2401.10008 (2024) - [i19]Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Fuzzy quantitative attack tree analysis. CoRR abs/2401.12346 (2024) - [i18]Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga:
Querying Fault and Attack Trees: Property Specification on a Water Network. CoRR abs/2401.16015 (2024) - [i17]Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Fuzzy Fault Trees Formalized. CoRR abs/2403.08843 (2024) - [i16]Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens:
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. CoRR abs/2407.09324 (2024) - 2023
- [i15]Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga:
PFL: a Probabilistic Logic for Fault Trees. CoRR abs/2303.17314 (2023) - [i14]Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Cost-damage analysis of attack trees. CoRR abs/2304.05812 (2023) - [i13]Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga:
ATM: a Logic for Quantitative Security Properties on Attack Trees. CoRR abs/2309.09231 (2023) - [i12]Milan Lopuhaä-Zwakenberg:
Fault tree reliability analysis via squarefree polynomials. CoRR abs/2312.05836 (2023) - [i11]Qiongxiu Li, Jaron Skovsted Gundersen, Milan Lopuhaä-Zwakenberg, Richard Heusdens:
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus. CoRR abs/2312.07947 (2023) - 2022
- [i10]Jasper Goseling, Milan Lopuhaä-Zwakenberg:
Robust Optimization for Local Differential Privacy. CoRR abs/2205.05015 (2022) - [i9]Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga:
Efficient and Generic Algorithms for Quantitative Attack Tree Analysis. CoRR abs/2212.05358 (2022) - 2021
- [i8]Milan Lopuhaä-Zwakenberg, Jasper Goseling:
The Privacy-Utility Tradeoff of Robust Local Differential Privacy. CoRR abs/2101.09139 (2021) - [i7]Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Attack time analysis in dynamic attack trees via integer linear programming. CoRR abs/2111.05114 (2021) - 2020
- [i6]Milan Lopuhaä-Zwakenberg:
The Privacy Funnel from the viewpoint of Local Differential Privacy. CoRR abs/2002.01501 (2020) - [i5]Milan Lopuhaä-Zwakenberg, Haochen Tong, Boris Skoric:
Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees. CoRR abs/2008.13151 (2020) - 2019
- [i4]Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric:
Consistent and Accurate Frequency Oracles under Local Differential Privacy. CoRR abs/1905.08320 (2019) - [i3]Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Information-theoretic metrics for Local Differential Privacy protocols. CoRR abs/1910.07826 (2019) - [i2]Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Four accuracy bounds and one estimator for frequency estimation under local differential privacy. CoRR abs/1911.10499 (2019) - [i1]Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Estimating Numerical Distributions under Local Differential Privacy. CoRR abs/1912.01051 (2019)
Coauthor Index
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