Conference Paper: 'Protecting high-resolution grid data with additive noise while retaining fitness for use'
From March 11th to 13th I had the chance to visit the biannual NTTS conference ( New Techniques and Technologies for Statistics ) in Brussels. On the second day I got to present new results in the session on Statistical Data Confidentiality. You can read the essentials in the short paper found in the conference’s Book of Abstracts . Quoting the introduction: "In the 2021/22 European census round, countries are producing demographic aggregates for geographic grid cells. These data products pose challenges with respect to confidentiality, since they are unprecedented in terms of spatial granularity and can, furthermore, be combined with aggregates for administrative regions to derive values for even smaller areas by a process called ‘geographic differencing’. Germany and several other countries protect grid data with the Cell Key Method (CKM), a disclosure control method based on additive noise that is suited to protect against geographic differencing risks. We assess the protectiv...