Ara es mostren els items 4-18 de 18

    • Block coordinate descent decomposition for statistical data protection using controlled tabular adjustment 

      González Alastrué, José Antonio; Castro Pérez, Jordi (2009-10)
      Report de recerca
      Accés restringit per acord de confidencialitat
      Tabular data is routinely released by national statistical agencies (NSA) to disseminate aggregated information from some particular microdata. Prior to publication, these tables have to be treated to preserve information ...
    • Contributions to record linkage for disclosure risk assessment 

      Nin Guerrero, Jordi (Consejo Superior de Investigaciones Científicas (CSIC), 2009-10-15)
      Llibre
      Accés restringit per política de l'editorial
      This book is about reidentification methods, and, more especifically, about record linkage. This study is motivated on the need to assess in an accurate way the risk of disclosure within the fields of privacy preserving ...
    • Efficient k-anonymous microaggregation of multivariate numerical data via principal component analysis 

      Rebollo-Monedero, David; Mezher, Ahmad Mohamad; Casanova, Xavier; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel (2019-07-09)
      Article
      Accés obert
      k-Anonymous microaggregation is a widespread technique to address the problem of protecting the privacy of the respondents involved beyond the mere suppression of their identifiers, in applications where preserving the ...
    • Extending controlled tabular adjustment for non-additive tabular data with negative protection levels 

      Castro Pérez, Jordi (Institut d'Estadística de Catalunya, 2011)
      Article
      Accés obert
      Minimum distance controlled tabular adjustment (CTA) is a recent perturbative methodology for the protection of tabular data. An implementation of CTA was recently used by Eurostat for the protection of European Union ...
    • Fix-and-relax approaches for controlled tabular adjustment 

      Baena, Daniel; Castro Pérez, Jordi; González Alastrué, José Antonio (2015-06-01)
      Article
      Accés obert
      Controlled tabular adjustment (CIA) is a relatively new protection technique for tabular data protection. CTA formulates a mixed integer linear programming problem, which is challenging for tables of moderate size. Even ...
    • How to group attributes in multivariate microaggregation 

      Nin Guerrero, Jordi; Herranz Sotoca, Javier; Torra i Reventós, Vicenç (2008-04-01)
      Article
      Accés restringit per política de l'editorial
      Microaggregation is one of the most employed microdata protection methods. It builds clusters of at least k original records, and then replaces these records with the centroid of the cluster. When the number of attributes ...
    • Interval protection of multi-state tabular data 

      Via Baraldés, Anna (Universitat Politècnica de Catalunya, 2015-07)
      Treball Final de Grau
      Accés obert
      Aquest projecte estudia l'aplicació del mètode de Descomposició de Benders pel problema de Protecció per Intervals. S'ha volgut determinar si aquest mètode proporciona més eficiència que la resolució directa del problema. ...
    • 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 ...