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dc.contributor.authorde Montjoye, Yves-Alexandre
dc.contributor.authorPentland, Alex
dc.date.accessioned2021-04-01T13:52:26Z
dc.date.available2021-04-01T13:52:26Z
dc.date.issued2016-03-18
dc.identifier.urihttps://hdl.handle.net/1721.1/130321
dc.description.abstractSánchez et al.’s textbook k-anonymization example does not prove, or even suggest, that location and other big-data data sets can be anonymized and of general use. The synthetic data set that they “successfully anonymize” bears no resemblance to modern high-dimensional data sets on which their methods fail. Moving forward, deidentification should not be considered a useful basis for policy.en_US
dc.language.isoenen_US
dc.publisherScienceen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.titleResponse to Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata”en_US
dc.typeArticleen_US
dc.identifier.citationde Montjoye, Y. A., & Pentland, A. (2016). Response to Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata”. Science, 351(6279), 1274-1274.en_US


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