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65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

06.09. - 09.09.2020, Berlin (online conference)

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Diffix by Aircloak: Strong anonymity and pretty good analytics

Meeting Abstract

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  • Paul Francis - Max Planck Institute for Software Systems, Kaiserslautern, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS). Berlin, 06.-09.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 29

doi: 10.3205/20gmds093, urn:nbn:de:0183-20gmds0932

Veröffentlicht: 26. Februar 2021

© 2021 Francis.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.

Gliederung

Text

Diffix is a data anonymization mechanism designed jointly by the Max Planck Institute for Software Systems and Aircloak GmbH, and commercially marketed by Aircloak. Free licenses are offered for non-profit use. Diffix exposes an SQL interface to the analyst, and anonymizes on a query-by-query basis. This technical talk will describe Diffix, explain why it is anonymous by GDPR standards, and provide an extensive demonstration of the product showing its capabilities, the ways in which data is perturbed, and how the system can be used.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.