1 citations · 2 across the 4 of their papers we have counts for
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stat.AP2025★ 1 cited
Four checks for low-fidelity synthetic data: recommendations for disclosure control and quality evaluation
Gillian M Raab, Sophie McCall, Liam Cavin
Confidential administrative data is usually only available to researchers within a trusted research environment (TRE). Recently, some UK groups have proposed that low-fidelity synt…
stat.AP2024
Privacy risk from synthetic data: practical proposals
Gillian M Raab
This paper proposes and compares measures of identity and attribute disclosure risk for synthetic data. Data custodians can use the methods proposed here to inform the decision as…
stat.AP2024★ 1 cited
Practical privacy metrics for synthetic data
Gillian M Raab, Beata Nowok, Chris Dibben
This paper explains how the synthpop package for R has been extended to include functions to calculate measures of identity and attribute disclosure risk for synthetic data that me…