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BVM library

Authors: Nunes, Gabriel Henrique;
Abstract

BVM library Bayes Vulnerability for Microdata library. Quantitative Information Flow assessment of vulnerability for microdata datasets using Bayes Vulnerability. This tool was used for the vulnerability assessment published in: Gabriel H. Nunes - A formal quantitative study of privacy in the publication of official educational censuses in Brazil (2021, hdl:1843/38085). Mário S. Alvim, Natasha Fernandes, Annabelle McIver, Carroll Morgan, Gabriel H. Nunes - Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata (2022, DOI: 10.56553/popets-2022-0114, arXiv: 2204.13734). For this publication, also refer to 10.5281/zenodo.6533684 (github.com/nunesgh/inep-anonymization). We randomly selected only one record for each student with a same unique pseudonymization code (ID_ALUNO) in each dataset. The enrollment code (ID_MATRICULA) for each selected record is available in 10.5281/zenodo.6533675 (gitlab.com/nunesgh/inep-enrollment-codes). License GNU LGPLv3. To understand how the various GNU licenses are compatible with each other, please refer to the GNU licenses FAQ.

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Keywords

qif, python, quantitative information flow, microdata, bayes vulnerability

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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