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).