Published April 28, 2021
| Version v1.0
Software
Open
BVM library
Contributors
Supervisors:
- 1. Universidade Federal de Minas Gerais
- 2. Macquarie University
Description
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, 10.48550/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
Files
bvm-library-1.0.zip
Files
(319.5 kB)
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Additional details
Related works
- Has part
- Dataset: 10.5281/zenodo.6533675 (DOI)
- Software: 10.5281/zenodo.6533684 (DOI)
- Is derived from
- Software: https://github.com/nunesgh/bvm-library (URL)
- Is supplement to
- Thesis: https://doi.org/hdl:1843/38085 (URL)
- Preprint: 10.48550/arXiv.2204.13734 (DOI)