New Attacks against Transformation-Based Privacy-Preserving Linear Programming

  • Peeter Laud
  • Alisa Pankova
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8203)


In this paper we demonstrate a number of attacks against proposed protocols for privacy-preserving linear programming, based on publishing and solving a transformed version of the problem instance. Our attacks exploit the geometric structure of the problem, which has mostly been overlooked in the previous analyses and is largely preserved by the proposed transformations. The attacks are efficient in practice and cast serious doubt to the viability of transformation-based approaches in general.


Cryptanalysis Secure multiparty computation Linear programming 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Peeter Laud
    • 1
  • Alisa Pankova
    • 1
    • 2
    • 3
  1. 1.Cybernetica ASEstonia
  2. 2.Software Technology and Applications Competence Centre (STACC)Estonia
  3. 3.Institute of Computer ScienceUniversity of TartuEstonia

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