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Paper Abstract and Keywords
Presentation 2024-01-18 11:45
A Proposal to Improve the Accuracy of BKW Algorithm
Yuto Ko, Bagus Santoso (UEC) IT2023-41 SIP2023-74 RCS2023-216
Abstract (in Japanese) (See Japanese page) 
(in English) The Blum-Kalai-Wasserman (BKW) algorithm is widely known as an algorithm for solving the Learning Parity with Noise (LPN) problem. The BKW algorithm includes the following process at a certain stage: the input set of vectors is divided into several sets according to certain features, a specific vector is selected for each set, and a linear transformation is performed using this vector. In the existing BKW algorithm, the specific vector is selected according to a uniform distribution.
Our research focuses on the possibility that the method of selecting this particular vector may affect the accuracy of the solution of the LPN problem output by the BKW algorithm. This paper proposes a new method for selecting the specific vectors and evaluates the accuracy of the outputs of the modified BKW algorithm which employs the new method through machine experiments. Compared with the existing BKW algorithm, we can confirm the improvement of accuracy by the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) LPN Problem / BKW Algorithm / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 338, IT2023-41, pp. 62-67, Jan. 2024.
Paper # IT2023-41 
Date of Issue 2024-01-11 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IT2023-41 SIP2023-74 RCS2023-216

Conference Information
Committee SIP IT RCS  
Conference Date 2024-01-18 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To IT 
Conference Code 2024-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal to Improve the Accuracy of BKW Algorithm 
Sub Title (in English)  
Keyword(1) LPN Problem  
Keyword(2) BKW Algorithm  
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1st Author's Name Yuto Ko  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Bagus Santoso  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2024-01-18 11:45:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2023-41, SIP2023-74, RCS2023-216 
Volume (vol) vol.123 
Number (no) no.338(IT), no.339(SIP), no.340(RCS) 
Page pp.62-67 
#Pages 6 
Date of Issue 2024-01-11 (IT, SIP, RCS) 

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