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Flexible and scalable privacy assessment for very large datasets, with
  an application to official governmental microdata
v1v2v3 (latest)

Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata

28 April 2022
Mário S. Alvim
Natasha Fernandes
Annabelle McIver
Carroll Morgan
Gabriel H. Nunes
ArXiv (abs)PDFHTML

Papers citing "Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata"

1 / 1 papers shown
Title
Analyzing the Shuffle Model through the Lens of Quantitative Information
  Flow
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow
Mireya Jurado
Ramon G. Gonze
Mário S. Alvim
C. Palamidessi
61
1
0
22 May 2023
1