@inproceedings{c48bc32af46b4148a89b7412c722ca73,
title = "Taylor expansion of maximum likelihood attacks for masked and shuffled implementations",
abstract = "The maximum likelihood side-channel distinguisher of a template attack scenario is expanded into lower degree attacks according to the increasing powers of the signal-to-noise ratio (SNR). By exploiting this decomposition we show that it is possible to build highly multivariate attacks which remain efficient when the likelihood cannot be computed in practice due to its computational complexity. The shuffled table recomputation is used as an illustration to derive a new attack which outperforms the ones presented by Bruneau et al. at CHES 2015, and so across the full range of SNRs. This attack combines two attack degrees and is able to exploit high dimensional leakage which explains its efficiency.",
keywords = "Shuffled table recomputation, Taylor expansion, Template attacks",
author = "Nicolas Bruneau and Sylvain Guilley and Annelie Heuser and Olivier Rioul and Standaert, \{Fran{\c c}ois Xavier\} and Yannick Teglia",
note = "Publisher Copyright: {\textcopyright} International Association for Cryptologic Research 2016.; 22nd International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2016 ; Conference date: 04-12-2016 Through 08-12-2016",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-662-53887-6\_21",
language = "English",
isbn = "9783662538869",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "573--601",
editor = "Cheon, \{Jung Hee\} and Tsuyoshi Takagi",
booktitle = "Advances in Cryptology - ASIACRYPT 2016 - 22nd International Conference on the Theory and Application of Cryptology and Information Security, Proceedings",
}