dc.contributor.author | de Montjoye, Yves-Alexandre | |
dc.contributor.author | Pentland, Alex | |
dc.date.accessioned | 2021-04-01T13:52:26Z | |
dc.date.available | 2021-04-01T13:52:26Z | |
dc.date.issued | 2016-03-18 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/130321 | |
dc.description.abstract | Sánchez 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.iso | en | en_US |
dc.publisher | Science | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.title | Response to Comment on “Unique in the shopping mall: On the reidentifiability of credit card metadata” | en_US |
dc.type | Article | en_US |
dc.identifier.citation | de 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 |