Software Open Access
BVM library
Nunes, Gabriel Henrique
Thesis supervisor(s)
Alvim, Mário Sérgio;
McIver, Annabelle
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
(319.5 kB)
| Name | Size | |
|---|---|---|
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bvm-library-1.0.zip
md5:32de30fbc157a04094931f4949eb5c25 |
319.5 kB | Download |
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downloads
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| Downloads | 2 | 2 |
| Data volume | 638.9 kB | 638.9 kB |
| Unique views | 87 | 87 |
| Unique downloads | 2 | 2 |
Indexed in
- Publication date:
- April 28, 2021
- DOI:
-
- Keyword(s):
- qif quantitative information flow bayes vulnerability microdata python
- Awarding University:
- Universidade Federal de Minas Gerais
- Related identifiers:
- Has part
- 10.5281/zenodo.6533675 (Dataset)
- 10.5281/zenodo.6533684 (Software)
- Derived from
- https://github.com/nunesgh/bvm-library (Software)
- Supplement to
- https://doi.org/hdl:1843/38085 (Thesis)
- 10.48550/arXiv.2204.13734 (Preprint)
- License (for files):
- GNU Lesser General Public License v3.0 or later