Milan Lopuhaä-Zwakenberg

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Differentially Private

Integer Linear Programming

Differential Privacy

Top Venues

Publications

Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. CoRR (2024)
Milan Lopuhaä-Zwakenberg
Attack tree metrics are operad algebras. CoRR (2024)
Milan Lopuhaä-Zwakenberg
Fault Tree Reliability Analysis via Squarefree Polynomials. MODELSWARD (2024)
Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Fuzzy quantitative attack tree analysis. CoRR (2024)
Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Fuzzy Fault Trees Formalized. CoRR (2024)
Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Fuzzy quantitative attack tree analysis. FASE (2024)
Milan Lopuhaä-Zwakenberg, Jasper Goseling
Mechanisms for Robust Local Differential Privacy. Entropy 26 (3) (2024)
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga
Querying Fault and Attack Trees: Property Specification on a Water Network. CoRR (2024)
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 (2024)
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 (2023)
Milan Lopuhaä-Zwakenberg
Fault tree reliability analysis via squarefree polynomials. CoRR (2023)
Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Attack Time Analysis in Dynamic Attack Trees via Integer Linear Programming. SEFM (2023)
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)
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga
ATM: a Logic for Quantitative Security Properties on Attack Trees. CoRR (2023)
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga
sfATM: A Logic for Quantitative Security Properties on Attack Trees. SEFM (2023)
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga
sfPFL: A Probabilistic Logic for Fault Trees. FM (2023)
Stefano M. Nicoletti, Milan Lopuhaä-Zwakenberg, Ernst Moritz Hahn, Mariëlle Stoelinga
PFL: a Probabilistic Logic for Fault Trees. CoRR (2023)
Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Cost-Damage Analysis of Attack Trees. DSN (2023)
Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga
Efficient and Generic Algorithms for Quantitative Attack Tree Analysis. IEEE Trans. Dependable Secur. Comput. 20 (5) (2023)
Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Cost-damage analysis of attack trees. CoRR (2023)
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)
Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li
Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy. WPES@CCS (2022)
Jasper Goseling, Milan Lopuhaä-Zwakenberg
Robust Optimization for Local Differential Privacy. CoRR (2022)
Jasper Goseling, Milan Lopuhaä-Zwakenberg
Robust Optimization for Local Differential Privacy. ISIT (2022)
Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga
Efficient and Generic Algorithms for Quantitative Attack Tree Analysis. CoRR (2022)
Milan Lopuhaä-Zwakenberg, Mina Alishahi, Jeroen Kivits, Jordi Klarenbeek, Gert-Jan van der Velde, Nicola Zannone
Comparing Classifiers' Performance under Differential Privacy. SECRYPT (2021)
Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga
Attack time analysis in dynamic attack trees via integer linear programming. CoRR (2021)
Milan Lopuhaä-Zwakenberg, Jasper Goseling
Robust Local Differential Privacy. ISIT (2021)
Milan Lopuhaä-Zwakenberg, Jasper Goseling
The Privacy-Utility Tradeoff of Robust Local Differential Privacy. CoRR (2021)
Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Locally Differentially Private Frequency Estimation with Consistency. NDSS (2020)
Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Improving Frequency Estimation under Local Differential Privacy. WPES@CCS (2020)
Milan Lopuhaä-Zwakenberg
The Privacy Funnel from the viewpoint of Local Differential Privacy. CoRR (2020)
Milan Lopuhaä-Zwakenberg, Haochen Tong, Boris Skoric
Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees. CoRR (2020)
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Ninghui Li, Boris Skoric
Estimating Numerical Distributions under Local Differential Privacy. SIGMOD Conference (2020)
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li
Estimating Numerical Distributions under Local Differential Privacy. CoRR (2019)
Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li
Information-theoretic metrics for Local Differential Privacy protocols. CoRR (2019)
Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric
Consistent and Accurate Frequency Oracles under Local Differential Privacy. CoRR (2019)
Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Four accuracy bounds and one estimator for frequency estimation under local differential privacy. CoRR (2019)