Show simple item record

dc.contributor.authorZhang, Y
dc.contributor.authorZhong, M
dc.contributor.authorZhao, X
dc.contributor.authorCurtis, C
dc.contributor.authorLi, X
dc.contributor.authorChen, C
dc.description.abstractThe human genome can reveal sensitive information and is potentially re-identifiable, which raises privacy and security concerns about sharing such data on wide scales. In this work, we propose a preventive approach for privacy-preserving sharing of genomic data in decentralized networks for Genome-wide association studies (GWASs), which have been widely used in discovering the association between genotypes and phenotypes. The key components of this work are: a decentralized secure network, with a privacy-preserving sharing protocol, and a gene fragmentation framework that is trainable in an end-to-end manner. Our experiments on real datasets show the effectiveness of our privacy-preserving approaches as well as significant improvements in efficiency when compared with recent, related algorithms.
dc.publisherACM Digital Library
dc.relation.ispartofconferencename12th ACM International Conference on Web Search and Data Mining (WSDM)
dc.relation.ispartofconferencetitleWSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
dc.relation.ispartoflocationMelbourne, Australia
dc.subject.keywordsScience & Technology
dc.subject.keywordsComputer Science, Artificial Intelligence
dc.subject.keywordsComputer Science, Information Systems
dc.subject.keywordsComputer Science, Theory & Methods
dc.titleEnabling privacy-preserving sharing of genomic data for GWASs in decentralized networks
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationZhang, Y; Zhong, M; Zhao, X; Curtis, C; Li, X; Chen, C, Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining, 2019, pp. 204-212
gro.hasfulltextNo Full Text
gro.griffith.authorChen, Chen

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

  • Conference outputs
    Contains papers delivered by Griffith authors at national and international conferences.

Show simple item record