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