Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions (2022)
Attributed to:
Isaac Newton Institute for Mathematical Sciences
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1111/rssa.12902
Publication URI: http://dx.doi.org/10.1111/rssa.12902
Type: Journal Article/Review
Parent Publication: Journal of the Royal Statistical Society Series A: Statistics in Society
Issue: 4
ISSN: 1467985X 09641998