Blar i forfatter "Michalas, Antonis"

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    • Secure and scalable deduplication of horizontally partitioned health data for privacy-preserving distributed statistical computation 

      Yigzaw, Kassaye Yitbarek; Michalas, Antonis; Bellika, Johan Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01-03)
      Background: Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. However, duplicate records in a distributed dataset may lead to incorrect statistical results. Therefore, to increase the accuracy of the statistical analysis of a distributed dataset, secure deduplication is an important preprocessing step.<p><p> ...

    • Secure and scalable statistical computation of questionnaire data in R 

      Yigzaw, Kassaye Yitbarek; Michalas, Antonis; Bellika, Johan Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 2016-08-12)
      Collecting data via a questionnaire and analyzing them while preserving respondents' privacy may increase the number of respondents and the truthfulness of their responses. It may also reduce the systematic differences between respondents and non-respondents. In this paper, we propose a privacy- preserving method for collecting and analyzing survey responses using secure multi-party computation. The ...