Ara es mostren els items 11-18 de 18

    • Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets 

      Pallarès Segarra, Esteve; Rebollo-Monedero, David; Rodríguez Hoyos, Ana Fernanda; Estrada Jiménez, José Antonio; Mezher, Ahmad Mohamad; Forné Muñoz, Jorge (2019-11-11)
      Article
      Accés obert
      The technical contents of this work fall within the statistical disclosure control (SDC) field, which concerns the postprocessing of the demographic portion of the statistical results of surveys containing sensitive personal ...
    • Modeling projections in microaggregation 

      Nin Guerrero, Jordi; Torra i Reventós, Vicenç (2008)
      Text en actes de congrés
      Accés obert
      Microaggregation is a method used by statistical agencies to limit the disclosure of sensitive microdata. It has been proven that microaggregation is an NP-hard problem when more than one variable is microaggregated at the ...
    • Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis 

      Rodríguez Hoyos, Ana Fernanda; Rebollo Monedero, David; Estrada Jiménez, José Antonio; Forné Muñoz, Jorge; Urquiza Aguiar, Luis Felipe (Elsevier, 2020-09-01)
      Article
      Accés obert
      Today’s countless benefits of exploiting data come with a hefty price in terms of privacy. -Anonymous microaggregation is a powerful technique devoted to revealing useful demographic information of microgroups of people, ...
    • Recent advances in optimization techniques for statistical tabular data protection 

      Castro Pérez, Jordi (Elsevier, 2012-01-16)
      Article
      Accés obert
      One of the main services of National Statistical Agencies (NSAs) for the current Information Society is the dissemination of large amounts of tabular data, which is obtained from microdata by crossing one or more categorical ...
    • Revisiting interval protection, a.k.a. partial cell suppression, for tabular data 

      Castro Pérez, Jordi; Via Baraldés, Anna (Springer, 2016)
      Text en actes de congrés
      Accés obert
      Interval protection or partial cell suppression was introduced in “M. Fischetti, J.-J. Salazar, Partial cell suppression: A new methodology for statistical disclosure control, Statistics and Computing, 13, 13–21, 2003” as ...
    • Secure and efficient anonymization of distributed confidential databases 

      Herranz Sotoca, Javier; Nin Guerrero, Jordi (2014)
      Article
      Accés restringit per política de l'editorial
      Let us consider the following situation: t entities (e.g., hospitals) hold different databases containing different records for the same type of confidential (e.g., medical) data. They want to deliver a protected version ...
    • Symmetric vs asymmetric protection levels in SDC methods for tabular data 

      Baena, Daniel; Castro Pérez, Jordi; González Alastrué, José Antonio (Springer, 2018-09)
      Article
      Accés obert
      Protection levels on sensitive cells—which are key parameters of any statistical disclosure control method for tabular data—are related to the difficulty of any attacker to recompute a good estimation of the true cell ...
    • Towards the evaluation of time series protection methods 

      Nin Guerrero, Jordi; Torra i Reventós, Vicenç (2009-02-04)
      Article
      Accés restringit per política de l'editorial
      The goal of statistical disclosure control (SDC) is to modify statistical data so that it can be published without releasing confidential information that may be linked to specific respondents. The challenge for SDC is to ...