Proximity Testing with Logarithmic Randomness

Benjamin E. Diamond, Jim Posen
{"title":"Proximity Testing with Logarithmic Randomness","authors":"Benjamin E. Diamond, Jim Posen","doi":"10.62056/aksdkp10","DOIUrl":null,"url":null,"abstract":"A fundamental result dating to Ligero (Des. Codes Cryptogr. '23) establishes that each fixed linear block code exhibits proximity gaps with respect to the collection of affine subspaces, in the sense that each given subspace either resides entirely close to the code, or else contains only a small portion which resides close to the code. In particular, any given subspace's failure to reside entirely close to the code is necessarily witnessed, with high probability, by a uniformly randomly sampled element of that subspace. We investigate a variant of this phenomenon in which the witness is not sampled uniformly from the subspace, but rather from a much smaller subset of it. We show that a logarithmic number of random field elements (in the dimension of the subspace) suffice to effect an analogous proximity test, with moreover only a logarithmic (multiplicative) loss in the possible prevalence of false witnesses. We discuss applications to recent noninteractive proofs based on linear codes, including Brakedown (CRYPTO '23).","PeriodicalId":508905,"journal":{"name":"IACR Cryptol. ePrint Arch.","volume":"32 6","pages":"630"},"PeriodicalIF":0.0000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IACR Cryptol. ePrint Arch.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.62056/aksdkp10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

A fundamental result dating to Ligero (Des. Codes Cryptogr. '23) establishes that each fixed linear block code exhibits proximity gaps with respect to the collection of affine subspaces, in the sense that each given subspace either resides entirely close to the code, or else contains only a small portion which resides close to the code. In particular, any given subspace's failure to reside entirely close to the code is necessarily witnessed, with high probability, by a uniformly randomly sampled element of that subspace. We investigate a variant of this phenomenon in which the witness is not sampled uniformly from the subspace, but rather from a much smaller subset of it. We show that a logarithmic number of random field elements (in the dimension of the subspace) suffice to effect an analogous proximity test, with moreover only a logarithmic (multiplicative) loss in the possible prevalence of false witnesses. We discuss applications to recent noninteractive proofs based on linear codes, including Brakedown (CRYPTO '23).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
采用对数随机性的邻近性测试
一个可追溯到利杰罗(Des. Codes Cryptogr. '23)的基本结果证明,相对于仿射子空间集合而言,每个固定线性块编码都表现出接近性差距,即每个给定子空间要么完全靠近编码,要么只包含靠近编码的一小部分。特别是,任何给定子空间如果没有完全靠近代码,那么该子空间中均匀随机抽样的元素必然会以很高的概率见证这一点。我们研究了这种现象的一种变体,即见证者不是从子空间中均匀抽样,而是从子空间中一个小得多的子集中抽样。我们的研究表明,只需对数数量的随机场元素(在子空间的维度上)就足以实现类似的接近性测试,而且在可能出现的假证人方面也只有对数(乘法)的损失。我们将讨论最近基于线性代码的非交互式证明的应用,包括 Brakedown(CRYPTO '23)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
MOSFHET: Optimized Software for FHE over the Torus 1/0 Shades of UC: Photonic Side-Channel Analysis of Universal Circuits White-box filtering attacks breaking SEL masking: from exponential to polynomial time Optimized Homomorphic Evaluation of Boolean Functions Time Sharing - A Novel Approach to Low-Latency Masking
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1