Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Tools for the Semi-Automatic Checking of Research Outputs. These are tools for researchers to use as drop-in replacements for common analysis commands.
Output Checking Workflow App
PyMASq is an easy-to-use, Python based software tool with enhanced SDC capabilities
Support de formation à la protection des données statistiques publiques
ACRO R Package: Tools for the Semi-Automatic Checking of Research Outputs.
Tools for statistical disclosure control in research data centres
Histograms compatible with SDC in Stata
Avaliação do Risco de Revelação nos Microdados do Censo Demográfico 2010
Website for Eurostat co-founded COSA project
Privacy suppression makes the Anthropic Economic Index automation–augmentation measure partially identified. Only 42 of 775 occupations are usably identified.
Python wrapper for TauArgus
Local-first semantic data virtualization: build privacy-aware twin projects, develop analysis safely, and promote logic to protected data
Survey weighting, small-area estimation (Fay-Herriot) and statistical disclosure control: a design-based simulation on ACS PUMS
Statistical disclosure control on EU-SILC microdata in R: re-identification risk, sdcMicro protection scenarios, information loss, and audited cell suppression with sdcTable
Hub de Datos de Migracion de Transito Andina (OAMT). Pipeline en R + tablero offline sin build. Corredor andino central, Bolivia y Peru, 12 nodos de transito.
Replication code for the synthetic-data inferential-fidelity paper
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