Abstract
Genomic researchers are already aware that some forms of aggregate data from their databases should not be released publicly, because there is a risk that an attacker may be able to determine whether a particular individual is a member of the database (a membership inference attack).
Cite
CITATION STYLE
APA
Paige, B., Bell, J., Bellet, A., Gascón, A., & Ezer, D. (2020). Reconstructing genotypes in private genomic databases from genetic risk scores. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12074 LNBI, pp. 266–268). Springer. https://doi.org/10.1007/978-3-030-45257-5_32
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