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| Presentation | 2022-03-07 11:50 An efficient scheme of homomorphic encryption for stochastic computing and its performance evaluation Ryusuke Koseki, Rei Ueno, Akira Ito, Naofumi Homma (Tohoku Univ.)  VLD2021-82 HWS2021-59 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper describes how to improve the efficiency of Homomorphic Encryption for Stochastic Computing (HESC) and its performance evaluation. HESC is a cryptographic scheme that can compute stochastic operations called stochastic computing on encrypted data. This scheme can evaluate both stochastic addition and multiplication using a homomorphic encryption which can evaluate either addition or multiplication operation. On the other hand, the size of ciphertexts increases as a trade-off for the accuracy of the evaluation result, and therefore reducing the size of ciphertexts has been an issue for applications with high-order operations. In this paper, we propose a technique that can reduce the size of ciphertexts while keeping the accuracy of the scheme. Then, we show the applications of HESC to secure computation of polynomial functions and to secure inference with a neural network. Through the evaluation results, we demonstrate the effectiveness of the improved HESC in terms of accuracy and execution time. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Homomorphic Encryption / Stochastic Computing / Secure Computing / Deep-Learning / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 413, HWS2021-59, pp. 37-42, March 2022. | |
| Paper # | HWS2021-59 | |
| Date of Issue | 2022-02-28 (VLD, HWS) | |
| 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 | VLD2021-82 HWS2021-59 |
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| Conference Information | |
| Committee | VLD HWS |
| Conference Date | 2022-03-07 - 2022-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Design Technology for System-on-Silicon, Hardware Security, etc. |
| Paper Information | |
| Registration To | HWS |
| Conference Code | 2022-03-VLD-HWS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An efficient scheme of homomorphic encryption for stochastic computing and its performance evaluation |
| Sub Title (in English) | |
| Keyword(1) | Homomorphic Encryption |
| Keyword(2) | Stochastic Computing |
| Keyword(3) | Secure Computing |
| Keyword(4) | Deep-Learning |
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| 1st Author's Name | Ryusuke Koseki |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Rei Ueno |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Akira Ito |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Naofumi Homma |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-07 11:50:00 |
| Presentation Time | 25 minutes |
| Registration for | HWS |
| Paper # | VLD2021-82, HWS2021-59 |
| Volume (vol) | vol.121 |
| Number (no) | no.412(VLD), no.413(HWS) |
| Page | pp.37-42 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (VLD, HWS) |
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