When Bad News Become Good News

Autor: Davide Bellizia, Clément Hoffmann, Dina Kamel, Pierrick Méaux, François-Xavier Standaert

Publikováno v: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2022, Iss 4 (2022)

Hard physical learning problems have been introduced as an alternative option to implement cryptosystems based on hard learning problems. Their high-level idea is to use inexact computing to generate erroneous computations directly, rather than to fi

Externí odkaz: https://doaj.org/article/b93475ccc0114e3381b7b64b8a29aefb

Exploring Crypto-Physical Dark Matter and Learning with Physical Rounding

Autor: Sébastien Duval, Pierrick Méaux, Charles Momin, François-Xavier Standaert

Publikováno v: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2021, Iss 1 (2020)

State-of-the-art re-keying schemes can be viewed as a tradeoff between efficient but heuristic solutions based on binary field multiplications, that are only secure if implemented with a sufficient amount of noise, and formal but more expensive solut

Externí odkaz: https://doaj.org/article/23deca94ac064d77b1824d6e03153c48

Boolean functions with restricted input and their robustness; application to the FLIP cipher

Autor: Claude Carlet, Pierrick Méaux, Yann Rotella

Publikováno v: IACR Transactions on Symmetric Cryptology, Pp 192-227 (2017)

We study the main cryptographic features of Boolean functions (balancedness, nonlinearity, algebraic immunity) when, for a given number n of variables, the input to these functions is restricted to some subset E of

Externí odkaz: https://doaj.org/article/f45cf18e3ea242e7ad0ad367477d5d0d

Effective and Efficient Masking with Low Noise Using Small-Mersenne-Prime Ciphers

Autor: Loïc Masure, Pierrick Méaux, Thorben Moos, François-Xavier Standaert

Publikováno v: Advances in Cryptology – EUROCRYPT 2023 ISBN: 9783031306334
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Cryptology – EUROCRYPT 2023

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71595c3d21cb3d2dd8d1e8e57ffb43ef
https://doi.org/10.1007/978-3-031-30634-1_20

Learning Parity with Physical Noise: Imperfections, Reductions and FPGA Prototype

Autor: Dina Kamel, Clément Hoffmann, Hanlin Liu, Yu Yu, Davide Bellizia, François-Xavier Standaert, Pierrick Méaux

Publikováno v: IACR Transactions on Cryptographic Hardware and Embedded Systems, Vol. 2021, no.3, p. 390-417 (2021)
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2021, Iss 3 (2021)

Hard learning problems are important building blocks for the design of various cryptographic functionalities such as authentication protocols and post-quantum public key encryption. The standard implementations of such schemes add some controlled err

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8aa791f85a4d302348980efb81d61168
https://doi.org/10.46586/tches.v2021.i3.390-417