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Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions (2022)

First Author: Shlomo N

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