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Paper Abstract and Keywords
Presentation 2022-07-28 15:45
Acceleration of HE-Transformer with bit reduced SEAL and HEXL
Xinyi Li, Masaki Nishi, Teppei Shishido, Keiji Kimura (Waseda Univ.) CPSY2022-12 DC2022-12
Abstract (in Japanese) (See Japanese page) 
(in English) While cloud applications are covering people's privacy data, their related risks, such as theft risk, leak risk, and other serious risks, are becoming critical issues.
Homomorphic encryption (HE) is a promising approach to overcome them since it enables calculation of encrypted data without decryption.
Deep learning (DL) inference on cloud is an interesting application of HE.
However, the computational cost of HE is too expensive, resulting in its limited usage in the real world.
In this paper, we propose an acceleration technique of DL on HE, and implement it in HE-Transformer, which is a framework for DL on HE.
Our approach is reducing the bit-width of internal data structure of HE libraries, SEAL and HEXL, from 64-bit to 32-bit.
As a result, we can obtain up to $3.59times$ speedup compared to the original version, while still keeping data privacy.
Keyword (in Japanese) (See Japanese page) 
(in English) Homomorphic Encryption / Deep Learning / SIMD / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 133, CPSY2022-12, pp. 65-70, July 2022.
Paper # CPSY2022-12 
Date of Issue 2022-07-20 (CPSY, DC) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 CPSY2022-12 DC2022-12

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2022-07-27 - 2022-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Kaikyo Messe Shimonoseki 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SWoPP2022: Parallel, Distributed and Cooperative Processing Systems and Dependable Computing 
Paper Information
Registration To CPSY 
Conference Code 2022-07-CPSY-DC-ARC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of HE-Transformer with bit reduced SEAL and HEXL 
Sub Title (in English)  
Keyword(1) Homomorphic Encryption  
Keyword(2) Deep Learning  
Keyword(3) SIMD  
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1st Author's Name Xinyi Li  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Masaki Nishi  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Teppei Shishido  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name Keiji Kimura  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2022-07-28 15:45:00 
Presentation Time 30 minutes 
Registration for CPSY 
Paper # CPSY2022-12, DC2022-12 
Volume (vol) vol.122 
Number (no) no.133(CPSY), no.134(DC) 
Page pp.65-70 
#Pages 6 
Date of Issue 2022-07-20 (CPSY, DC) 

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