Paper Abstract and Keywords |
Presentation |
2020-02-27 14:00
An Image Transformation Network for Privacy-Preserving Deep Neural Networks Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2019-37 IE2019-75 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose an image transformation network to generate visually-protected images for privacy-preserving deep neural networks (DNNs). The transformation network inspired by adversarial examples is considered not only to generate visually-protected images but also to achieve the performance of DNNs that using plain images has. Moreover, the proposed transformation network can be public to users, so there is no need to manage secret keys. In an image classification experiment, the proposed transformation network is confirmed to protect the visual information without any performance degradation under the use of two image classification networks: ResNet and VGG. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Adversarial example / deep neural network / privacy preserving / visual protection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 422, IE2019-75, pp. 195-200, Feb. 2020. |
Paper # |
IE2019-75 |
Date of Issue |
2020-02-20 (ITS, IE) |
ISSN |
Print edition: ISSN 0913-5685 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) |
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ITS2019-37 IE2019-75 |
Conference Information |
Committee |
ITE-HI IE ITS ITE-MMS ITE-ME ITE-AIT |
Conference Date |
2020-02-27 - 2020-02-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
IE |
Conference Code |
2020-02-HI-IE-ITS-MMS-ME-AIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
An Image Transformation Network for Privacy-Preserving Deep Neural Networks |
Sub Title (in English) |
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Adversarial example |
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deep neural network |
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privacy preserving |
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visual protection |
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1st Author's Name |
Hiroki Ito |
1st Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metro. Univ.) |
2nd Author's Name |
Yuma Kinoshita |
2nd Author's Affiliation |
Tokyo Metropolitan University (Tokyo Metro. Univ.) |
3rd Author's Name |
Hitoshi Kiya |
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Tokyo Metropolitan University (Tokyo Metro. Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-02-27 14:00:00 |
Presentation Time |
15 minutes |
Registration for |
IE |
Paper # |
ITS2019-37, IE2019-75 |
Volume (vol) |
vol.119 |
Number (no) |
no.421(ITS), no.422(IE) |
Page |
pp.195-200 |
#Pages |
6 |
Date of Issue |
2020-02-20 (ITS, IE) |
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