Learning with Errors In subject area: Computer Science Learning with Errors (LWE) is defined as a cryptographic problem where, given multiple samples from a specific distribution, it is hard to recover the orig
全同态学习(i春秋课程https://www.ichunqiu.com/course/50443 课时三:Learning With Errors困难问题) 一、LWE问题阐述 在给出噪声e的情况下,怎么求解s(如果没有添加噪声,可以简单用高斯消除法解得) 分为两类LWE问题:search以及desicion 矩阵形式表示: 二、LWE与SIS的比较 LWE:试图从完全随机值中区分带噪声......
我们终于在Lecture 03遇到了格密码学之所以在近15年来蓬勃发展,最关键的安全假设:Learning With Errors(LWE)。Lecture 03主讲人Chirs Peikert是格密码学非常重要的研究人员。Lecture 03仍然分为两个部分,第1部分主要讲解LWE假设本身,第2部分讲解用Learning With Round(LWR)假设和LWE假设构建可证明安全伪随机函数(...
本综述中,我们描述了带错误的学习 (LWE) 问题,讨论了它的性质、困难性及其密码应用。 关键词:错误学习;格密码 一、引言 近年来,[Reg05] 中引入的带错误学习 (LWE) 问题,已被证明是密码构造的通用基础。 它主要名声来自于与最坏情况的格问题一样困难,因此在最坏情况的格问题困难性的假设下,使所有基于它的密...
论文名称:Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors 论文链接:https://www.usenix.org/conference/usenixsecurity22/presentation/stevens 1 方法 将安全聚合与差分隐私相结合,可以确保联邦学习中端到端的隐私。如图1所示,安全聚合允许系统中心合并所有...
The “learning with errors” (LWE) problem is to distinguish random linear equations, which have been perturbed by a small amount of noise, from truly uniform ones. The problem has been shown to be as hard as worst-case lattice problems, and in recent years it has served as the foundation...
Learning from errors: students’ and instructors’ practices, attitudes, and beliefs. Memory 28, 1105–1122 (2020). Article PubMed Google Scholar Download references Acknowledgements This material is based upon work supported by the James S. McDonnell Foundation 21st Century Science Initiative in ...
First, a model of naming game with learning errors in communications (NGLE) is proposed. Then, a strategy for agents to prevent learning errors is suggested. To that end, three typical topologies of communication networks, namely random-graph, small-world and scale-free networks, are employed ...
⑤ Only once we have learned how to swallow our pride can we really begin to learn from our past errors.(强调在放下自尊心后才能真正从过去的错误中汲取教训) 译文:第一个从过去的错误中汲取经验的品质是要有勇气正视现实。...
RLWEen.wikipedia.org/wiki/Ring_learning_with_errors 1.背景 后量子密码中,环上误差学习(ring learning with errors, RLWE)是一个计算问题,它是新密码算法(如NewHope)的基础,旨在抵御量子计算机的密码分析,并为同态加密提供基础。公钥密码体制依赖于数学问题的构造,如果没有进一步的信息,这些问题就很难解决,但...