@inproceedings{b79ebe6ad7364b2aa2744b584646286d,
title = "Lossiness and entropic hardness for ring-LWE",
abstract = "The hardness of the Ring Learning with Errors problem (RLWE) is a central building block for efficiency-oriented lattice-based cryptography. Many applications use an “entropic” variant of the problem where the so-called “secret” is not distributed uniformly as prescribed but instead comes from some distribution with sufficient min-entropy. However, the hardness of the entropic variant has not been substantiated thus far. For standard LWE (not over rings) entropic results are known, using a “lossiness approach” but it was not known how to adapt this approach to the ring setting. In this work we present the first such results, where entropic security is established either under RLWE or under the Decisional Small Polynomial Ratio (DSPR) assumption which is a mild variant of the NTRU assumption. In the context of general entropic distributions, our results in the ring setting essentially match the known lower bounds (Bolboceanu et al., Asiacrypt 2019; Brakerski and D{\"o}ttling, Eurocrypt 2020).",
author = "Zvika Brakerski and Nico D{\"o}ttling",
note = "Publisher Copyright: {\textcopyright} International Association for Cryptologic Research 2020.; 18th International Conference on Theory of Cryptography, TCCC 2020 ; Conference date: 16-11-2020 Through 19-11-2020",
year = "2020",
doi = "https://doi.org/10.1007/978-3-030-64375-1_1",
language = "الإنجليزيّة",
isbn = "9783030643744",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media B.V.",
pages = "1--27",
editor = "Rafael Pass and Krzysztof Pietrzak",
booktitle = "Theory of Cryptography - 18th International Conference, TCC 2020, Proceedings",
address = "ألمانيا",
}