Paper 2012/082

Semi-Supervised Template Attack

Liran Lerman, Stephane Fernandes Medeiros, Nikita Veshchikov, Cedric Meuter, Gianluca Bontempi, and Olivier Markowitch


Side channel attacks take advantage of the information leakage in a cryptographic device. A template attack is a family of side channel attacks which is reputed to be extremely effective. This kind of attacks supposes that the attacker can fully control a cryptographic device before attacking a similar one. In this paper, we propose a method based on a semi-supervised learning strategy to relax this assumption. The effectiveness of our proposal is confirmed by software simulations as well as by experiments on a 8-bit microcontroller.

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Publication info
Published elsewhere. Unknown where it was published
Side channel attackTemplate attackPower analysisMachine learningSemi-supervised learningClusteringHamming weight
Contact author(s)
llerman @ ulb ac be
2012-02-23: received
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Creative Commons Attribution


      author = {Liran Lerman and Stephane Fernandes Medeiros and Nikita Veshchikov and Cedric Meuter and Gianluca Bontempi and Olivier Markowitch},
      title = {Semi-Supervised Template Attack},
      howpublished = {Cryptology ePrint Archive, Paper 2012/082},
      year = {2012},
      note = {\url{}},
      url = {}
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