| Paper Abstract and Keywords |
| Presentation |
2023-03-02 11:40
Novel Adversarial Attacks Based on Embedding Geometry of Data Manifolds Masahiro Morita, Hajime Tasaki, Jinhui Chao (Chuo Univ.) PRMU2022-84 IBISML2022-91 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
It has been shown recently that adversarial examples inducing misclassification by deep neural networks exist in the orthogonal complementary spaces of the tangent spaces of the data manifold.
In this paper, we propose novel adversarial attacks based on the embedding geometry of the data manifold.
The proposed attacks generate adversarial examples by adding imperceptible perturbations in the directions of the orthogonal complementary space of the tangent spaces of the data manifold along which the weight vectors have prominent components.
Moreover, we also consider targeted attacks by the output inversion in the hidden layer neurons toward the target class.
Evaluations of these proposed attacks are also reported. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep learning / Adversarial example / Manifold hypothesis / Data manifold / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 405, IBISML2022-91, pp. 140-145, March 2023. |
| Paper # |
IBISML2022-91 |
| Date of Issue |
2023-02-23 (PRMU, IBISML) |
| 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 |
PRMU2022-84 IBISML2022-91 |
| Conference Information |
| Committee |
PRMU IBISML IPSJ-CVIM |
| Conference Date |
2023-03-02 - 2023-03-03 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Future University Hakodate |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IBISML |
| Conference Code |
2023-03-PRMU-IBISML-CVIM |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Novel Adversarial Attacks Based on Embedding Geometry of Data Manifolds |
| Sub Title (in English) |
|
| Keyword(1) |
Deep learning |
| Keyword(2) |
Adversarial example |
| Keyword(3) |
Manifold hypothesis |
| Keyword(4) |
Data manifold |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(8) |
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| 1st Author's Name |
Masahiro Morita |
| 1st Author's Affiliation |
Chuo University (Chuo Univ.) |
| 2nd Author's Name |
Hajime Tasaki |
| 2nd Author's Affiliation |
Chuo University (Chuo Univ.) |
| 3rd Author's Name |
Jinhui Chao |
| 3rd Author's Affiliation |
Chuo University (Chuo Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2023-03-02 11:40:00 |
| Presentation Time |
15 minutes |
| Registration for |
IBISML |
| Paper # |
PRMU2022-84, IBISML2022-91 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.404(PRMU), no.405(IBISML) |
| Page |
pp.140-145 |
| #Pages |
6 |
| Date of Issue |
2023-02-23 (PRMU, IBISML) |