Article

PRISM-G: an interpretable privacy scoring framework for assessing risk in synthetic human genome data

2025-10-17

Abstract excerpt

Synthetic genomic data promises broader access, but unresolved privacy risks persist. In Europe, these risks increasingly hinder cross-border use of national genomic resources due to limitations in trust and legal interoperability rather than scientific demand. At the same time, privacy risk is not uniformly distributed: leakage driven by relatedness structure and rare-variant uniqueness can disproportionately aff...

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Literature Corpus work: dbece7c1-3363-5b7b-95e2-be5b36c60ff7
DOI: 10.1101/2025.10.17.682995

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