Enabling tradeoffs in privacy and utility in genomic data Beacons and summary statistics.

ABSTRACT: The collection and sharing of genomic data are becoming increasingly commonplace in research, clinical, and direct-to-consumer settings. The computational protocols typically adopted to protect individual privacy include sharing summary statistics, such as allele frequencies, or limiting query responses to the presence/absence of alleles of interest using web services called Beacons. However, even such limited releases are susceptible to likelihood ratio-based membership-inference attacks. Several approaches have been proposed to preserve privacy, which either suppress a subset of genomic variants or modify query responses for specific variants (e.g., adding noise, as in differential privacy). However, many of these approaches result in a significant utility loss, either suppressing many v

SUBMITTER: Venkatesaramani R 

PROVIDER: S-EPMC10538482 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature