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A data utility-driven benchmark for de-identification methods

dc.contributor.authorTomashchuk, Oleksandr
dc.contributor.authorVan Landuyt, Dimitri
dc.contributor.authorPletea, Daniel
dc.contributor.authorWuyts, Kim
dc.contributor.authorJoosen, Wouter
dc.date.accessioned2021-10-27T19:45:17Z
dc.date.available2021-10-27T19:45:17Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34131
dc.sourceIIOimport
dc.titleA data utility-driven benchmark for de-identification methods
dc.typeProceedings paper
dc.contributor.imecauthorJoosen, Wouter
dc.source.peerreviewyes
dc.source.beginpage63
dc.source.endpage77
dc.source.conference16th International Conference on Trust, Privacy and Security in Digital Business
dc.source.conferencedate26/08/2019
dc.source.conferencelocationLinz Austria
dc.identifier.urlhttps://doi.org/10.1007/978-3-030-27813-7_5
imec.availabilityPublished - imec
imec.internalnotesLecture Notes in Computer Science series; Vol. LNCS 11711


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