02149nam 2200517 450 99641829520331620210211123842.03-030-57521-710.1007/978-3-030-57521-2(CKB)4100000011457864(DE-He213)978-3-030-57521-2(MiAaPQ)EBC6350787(PPN)250220504(EXLCZ)99410000001145786420210211d2020 uy 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPrivacy in statistical databases UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23-25, 2020 : proceedings /Josep Domingo-Ferrer, Krishnamurty Muralidhar (editors)1st ed. 2020.Cham, Switzerland :Springer,[2020]©20201 online resource (XI, 370 p. 25 illus.) Information Systems and Applications, incl. Internet/Web, and HCI ;122763-030-57520-9 Privacy models -- Microdata protection -- Protection of statistical tables -- Protection of interactive and mobility databases -- Record linkage and alternative methods -- Synthetic data -- Data quality -- Case studies.The Chapter “Explaining recurrent machine learning models: integral privacy revisited” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Information Systems and Applications, incl. Internet/Web, and HCI ;12276Database securityCongressesData protectionCongressesStatisticsDatabasesCongressesDatabase securityData protectionStatisticsDatabases005.8Domingo-Ferrer JosepMuralidhar KrishnamurtyMiAaPQMiAaPQMiAaPQBOOK996418295203316Privacy in Statistical Databases772125UNISA