| Paper Abstract and Keywords |
| Presentation |
2025-09-04 16:30
Manifold oriented Countermeasure against Adversarial Examples
Shunichi Kato, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Today, AI using DNN is being utilized in all areas of society. However, Adversarial Examples(AE) have been reported as a threat to DNN. AEs are attacks that cause AI to misclassify input data by adding imperceptible noise to it. This threat necessitates countermeasure when considering future applications of AI. Therefore, numerous countermeasure against AEs have been studied to date. Nevertheless, issues have been reported in all countermeasure.
In this study, we propose a new approach that differs from conventional countermeasure: manipulating the topological structure of the feature space itself. In the proposed method, DNN feature vectors are mapped to a Torus space, and perform classification using class centroids. This method aims to realize a model that small noise in high-dimensional space have minimal impact on classification by reflecting periodicity of the Torus space in the feature space through mapping to the Torus space. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
AI / Adversarial Examples / Torus / Feature Vector / Mapping / / / |
| Reference Info. |
ITE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-IE ME IEICE-LOIS IEE-CMN |
| Conference Date |
2025-09-03 - 2025-09-04 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido University of Science |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IEICE-IE |
| Conference Code |
2025-09-IE-ME-LOIS-CMN |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Manifold oriented Countermeasure against Adversarial Examples |
| Sub Title (in English) |
|
| Keyword(1) |
AI |
| Keyword(2) |
Adversarial Examples |
| Keyword(3) |
Torus |
| Keyword(4) |
Feature Vector |
| Keyword(5) |
Mapping |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Shunichi Kato |
| 1st Author's Affiliation |
Meijo University (Meijo Univ.) |
| 2nd Author's Name |
Ryo Kumagai |
| 2nd Author's Affiliation |
Meijo University (Meijo Univ.) |
| 3rd Author's Name |
Shu Takemoto |
| 3rd Author's Affiliation |
Meijo University (Meijo Univ.) |
| 4th Author's Name |
Yusuke Nozaki |
| 4th Author's Affiliation |
Meijo University (Meijo Univ.) |
| 5th Author's Name |
Masaya Yoshikawa |
| 5th Author's Affiliation |
Meijo University (Meijo Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2025-09-04 16:30:00 |
| Presentation Time |
20 minutes |
| Registration for |
IEICE-IE |
| Paper # |
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| Volume (vol) |
vol.49 |
| Number (no) |
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| Page |
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| #Pages |
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| Date of Issue |
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