Template attacks versus machine learning revisited and the curse of dimensionality in side-channel analysis: extended version

Author:

Lerman LiranORCID,Poussier Romain,Markowitch Olivier,Standaert François-Xavier

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference37 articles.

1. Banciu, V., Oswald, E., Whitnall, C.: Reliable information extraction for single trace attacks. In: Nebel, W., Atienza, D. (eds.) Proceedings of the 2015 Design, Automation and Test in Europe Conference and Exhibition, DATE 2015, Grenoble, France, March 9–13, 2015, pp. 133–138. ACM (2015)

2. Banciu, V., Oswald, E., Carolyn, W.: Reliable information extraction for single trace attacks. In: IACR Cryptology ePrint Archive, vol. 2015, p. 45 (2015)

3. Bartkewitz, T., Lemke-Rust, K.: Efficient template attacks based on probabilistic multi-class support vector machines. In: Mangard, S. (ed.) CARDIS, volume 7771 of Lecture Notes in Computer Science, pp. 263–276. Springer, Berlin (2012)

4. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

5. Chari, S., Rao, J.R., Rohatgi, P.: Template attacks. In: Kaliski Jr., B.S., Koç, Ç.K., Paar, C. (eds.) CHES, volume 2523 of Lecture Notes in Computer Science, pp. 13–28. Springer, Berlin (2002)

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