Towards Faster Polynomial-Time Lattice Reduction-Reference-Cited by-同舟云学术

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Towards Faster Polynomial-Time Lattice Reduction

Published:2021 Issue: Volume: Page:760-790
ISSN:0302-9743
Container-title:Advances in Cryptology – CRYPTO 2021
language:
Short-container-title:

Author:

Kirchner Paul,Espitau Thomas,Fouque Pierre-Alain

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-84245-1_26

Reference73 articles.

1. Lecture Notes in Computer Science;D Aggarwal,2020

2. Becker, A., Ducas, L., Gama, N., Laarhoven, T.: New directions in nearest neighbor searching with applications to lattice sieving. In: SODA , pp. 10–24 (2016)

3. Albrecht, M., Bai, S., Cadé, D., Pujol, X., Stehlé, D.: fpLLL-5.0, a floating-point LLL implementation (2017). http://perso.ens-lyon.fr/damien.stehle

4. Lecture Notes in Computer Science;M Albrecht,2016

5. Lecture Notes in Computer Science;MR Albrecht,2020

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1. Computing the Shortest Vector in a Lattice Using the Alternating Direction Method of Multipliers;Lecture Notes in Networks and Systems;2024

2. Passive SSH Key Compromise via Lattices;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

3. Inferring Bivariate Polynomials for Homomorphic Encryption Application;Cryptography;2023-06-05

4. Fast Practical Lattice Reduction Through Iterated Compression;Advances in Cryptology – CRYPTO 2023;2023

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