Milan Lopuhaä-Zwakenberg | DeepAI

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Featured Co-authors

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∙ 09/17/2023

ATM: a Logic for Quantitative Security Properties on Attack Trees

Critical infrastructure systems - for which high reliability and availab...

0 Stefano M. Nicoletti, et al. ∙

∙ 04/12/2023

Cost-damage analysis of attack trees

Attack trees (ATs) are a widely deployed modelling technique to categori...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 03/30/2023

PFL: a Probabilistic Logic for Fault Trees

Safety-critical infrastructures must operate in a safe and reliable way....

0 Stefano M. Nicoletti, et al. ∙

∙ 12/10/2022

Efficient and Generic Algorithms for Quantitative Attack Tree Analysis

Numerous analysis methods for quantitative attack tree analysis have bee...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 05/10/2022

Robust Optimization for Local Differential Privacy

We consider the setting of publishing data without leaking sensitive inf...

0 Jasper Goseling, et al. ∙

∙ 11/09/2021

Attack time analysis in dynamic attack trees via integer linear programming

Attack trees are an important tool in security analysis, and an importan...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 01/22/2021

The Privacy-Utility Tradeoff of Robust Local Differential Privacy

We consider data release protocols for data X=(S,U), where S is sensitiv...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 08/30/2020

Data Sanitisation Protocols for the Privacy Funnel with Differential Privacy Guarantees

In the Open Data approach, governments and other public organisations wa...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 02/04/2020

The Privacy Funnel from the viewpoint of Local Differential Privacy

We consider a database X⃗ = (X_1,...,X_n) containing the data of n users...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 12/02/2019

Estimating Numerical Distributions under Local Differential Privacy

When collecting information, local differential privacy (LDP) relieves t...

0 Zitao Li, et al. ∙

∙ 11/24/2019

Four accuracy bounds and one estimator for frequency estimation under local differential privacy

We present four lower bounds on the mean squared error of both frequency...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 10/17/2019

Information-theoretic metrics for Local Differential Privacy protocols

Local Differential Privacy (LDP) protocols allow an aggregator to obtain...

0 Milan Lopuhaä-Zwakenberg, et al. ∙

∙ 05/20/2019

Consistent and Accurate Frequency Oracles under Local Differential Privacy

Local Differential Privacy (LDP) protects user privacy from the data col...

0 Tianhao Wang, et al. ∙

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