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Fast Vector Oblivious Linear Evaluation from Ring Learning with Errors

Authors:

Chiraag Juvekar,

Vinod VaikuntanathanAuthors Info & Claims

WAHC '21: Proceedings of the 9th on Workshop on Encrypted Computing & Applied Homomorphic Cryptography

Pages 29 - 41

https://doi.org/10.1145/3474366.3486928

Published: 15 November 2021 Publication History

Abstract

Oblivious linear evaluation (OLE) is a fundamental building block in multi-party computation protocols. In OLE, a sender holds a description of an affine function $f_α,β (z)=α z+β$, the receiver holds an input x, and gets α x+β$ (where all computations are done over some field, or more generally, a ring). Vector OLE (VOLE) is a generalization where the sender has many affine functions and the receiver learns the evaluation of all of these functions on a single point x. The state-of-the-art semi-honest VOLE protocols generally fall into two groups. The first group relies on standard assumptions to achieve security but lacks in concrete efficiency. These constructions are mostly based on additively homomorphic encryption (AHE) and are classified as "folklore". The second group relies on less standard assumptions, usually properties of sparse, random linear codes, but they manage to achieve concrete practical efficiency. In this work, we present a conceptually simple VOLE protocol that derives its security from a standard assumption, namely Ring Learning with Errors (RLWE), while still achieving concrete efficiency comparable to the fastest VOLE protocols from non-standard coding assumptions~\citeADI+17, BCGI18, SGRR19. Furthermore, our protocol admits a natural extension to batch OLE (BOLE), which is yet another variant of OLE that computes many OLEs in parallel.

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Xu JPan Y(2024)1-Out-of-N Oblivious Transfer from MLWECryptology and Network Security10.1007/978-981-97-8013-6_6(123-143)Online publication date: 24-Sep-2024
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Couteau GDevadas LDevadas SKoch AServan-Schreiber S(2024)QuietOT: Lightweight Oblivious Transfer with a Public-Key SetupAdvances in Cryptology – ASIACRYPT 202410.1007/978-981-96-0888-1_7(197-231)Online publication date: 10-Dec-2024
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Index Terms

Fast Vector Oblivious Linear Evaluation from Ring Learning with Errors
1. Security and privacy
  1. Cryptography

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cover image ACM Conferences

WAHC '21: Proceedings of the 9th on Workshop on Encrypted Computing & Applied Homomorphic Cryptography

November 2021

75 pages

ISBN:9781450386562

DOI:10.1145/3474366

Program Chairs:
Michael Brenner
Leibniz Universität Hannover, Germany
,
Rachel Player
Royal Holloway, University of London, UK
,
Kurt Rohloff
NJIT and Duality Technologies, USA

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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Published: 15 November 2021

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CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security

November 15, 2021

Virtual Event, Republic of Korea

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Overall Acceptance Rate 6 of 17 submissions, 35%

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Cited By

Morona-Mínguez MPedrouzo-Ulloa APérez-González F(2024)A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA)10.1109/FLTA63145.2024.10840167(39-46)Online publication date: 17-Sep-2024
https://doi.org/10.1109/FLTA63145.2024.10840167
Xu JPan Y(2024)1-Out-of-N Oblivious Transfer from MLWECryptology and Network Security10.1007/978-981-97-8013-6_6(123-143)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1007/978-981-97-8013-6_6
Couteau GDevadas LDevadas SKoch AServan-Schreiber S(2024)QuietOT: Lightweight Oblivious Transfer with a Public-Key SetupAdvances in Cryptology – ASIACRYPT 202410.1007/978-981-96-0888-1_7(197-231)Online publication date: 10-Dec-2024
https://dl.acm.org/doi/10.1007/978-981-96-0888-1_7
HUO WYU YYANG KZHENG ZLI XYAO LXIE J(2023)Privacy-preserving cryptographic algorithms and protocols: a survey on designs and applicationsSCIENTIA SINICA Informationis10.1360/SSI-2022-043453:9(1688)Online publication date: 6-Sep-2023
https://doi.org/10.1360/SSI-2022-0434
Froelicher DCho HEdupalli MSa Sousa JBossuat JPyrgelis ATroncoso-Pastoriza JBerger BHubaux J(2023)Scalable and Privacy-Preserving Federated Principal Component Analysis2023 IEEE Symposium on Security and Privacy (SP)10.1109/SP46215.2023.10179350(1908-1925)Online publication date: May-2023
https://doi.org/10.1109/SP46215.2023.10179350
Baum CDittmer SScholl PWang X(2023)Sok: vector OLE-based zero-knowledge protocolsDesigns, Codes and Cryptography10.1007/s10623-023-01292-891:11(3527-3561)Online publication date: 1-Oct-2023
https://dl.acm.org/doi/10.1007/s10623-023-01292-8
de Castro LHazay CIshai YVaikuntanathan VVenkitasubramaniam M(2022)Asymptotically Quasi-Optimal CryptographyAdvances in Cryptology – EUROCRYPT 202210.1007/978-3-031-06944-4_11(303-334)Online publication date: 30-May-2022
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Mouchet CTroncoso-Pastoriza JBossuat JHubaux J(2021)Multiparty Homomorphic Encryption from Ring-Learning-with-ErrorsProceedings on Privacy Enhancing Technologies10.2478/popets-2021-00712021:4(291-311)Online publication date: 23-Jul-2021
https://doi.org/10.2478/popets-2021-0071

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