• A modification of the Lloyd algorithm for k-anonymous quantization 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Pallarès Segarra, Esteve; Parra Arnau, Javier (2013-02-10)
      Article
      Accés obert
      We address the problem of designing quantizers that cluster data while satisfying a k-anonymity requirement. A general data compression perspective is adopted, which considers both discrete and continuous probability ...
    • Computational improvements of microaggregation algorithms for the anonymization of large-scale datasets 

      García Álvarez, Alejandro (Universitat Politècnica de Catalunya, 2017-01)
      Treball Final de Grau
      Accés obert
      The technical contents of this work fall within the field of statistical disclosure control (SDC), which concerns the postprocessing of the demographic portion of the statistical results of surveys containing sensitive ...
    • Computational methods for large-scale microdata anonymization 

      Casanova Colomé, Xavier (Universitat Politècnica de Catalunya, 2015-07)
      Treball Final de Grau
      Accés obert
      Abstract— Statistical disclosure control (SDC) concerns safeguarding the privacy of people and/or companies whose confidential information is released as large datasets. This data is used in statistical studies, and thus, ...
    • Incremental k-anonymous microaggregation of large-scale datasets 

      Hernández Baigorri, César (Universitat Politècnica de Catalunya, 2016-06-17)
      Projecte/Treball Final de Carrera
      Accés obert
       Every one of us is constantly releasing data about our interests, preferences or affiliations in a conscious or unconscious way. Improvements on the technological field have led to an enormous volume of data on each ...
    • p-probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Puiggalí Allepuz, Jordi (2016-12-13)
      Article
      Accés obert
      We develop a probabilistic variant of k-anonymous microaggregation which we term p-probabilistic resorting to a statistical model of respondent participation in order to aggregate quasi-identifiers in such a manner that ...