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| Paper Abstract and Keywords | ||
| Presentation | 2022-06-27 14:50 AI knowledge forgetting based on the importance of model parameters Tomoya Yamashita, Masanori Yamada (NTT)  NC2022-3 IBISML2022-3 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The accuracy of Deep Learning has been greatly improved by the progress of research in computer technology and Deep Learning techniques, and it has produced results in many fields. However, as Deep Learning becomes more widely used, problems related to privacy violation and data leakage are expected to arise. In this paper, we aim to solve these problems by making Deep Learning models forget their knowledge. We propose a method of forgetting knowledge about a desired task by adding noise to Deep Learning model parameters. Experimental results confirm that the proposed method achieves knowledge oblivion of Deep Learning models. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / Continual Learning / EWC / Catastrophic Forgetting / Privacy Protection / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 90, IBISML2022-3, pp. 14-19, June 2022. | |
| Paper # | IBISML2022-3 | |
| Date of Issue | 2022-06-20 (NC, 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 | NC2022-3 IBISML2022-3 |
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| Conference Information | |
| Committee | NC IBISML IPSJ-BIO IPSJ-MPS |
| Conference Date | 2022-06-27 - 2022-06-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IBISML |
| Conference Code | 2022-06-NC-IBISML-BIO-MPS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | AI knowledge forgetting based on the importance of model parameters |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Continual Learning |
| Keyword(3) | EWC |
| Keyword(4) | Catastrophic Forgetting |
| Keyword(5) | Privacy Protection |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tomoya Yamashita |
| 1st Author's Affiliation | NTT Social Informatics Laboratories (NTT) |
| 2nd Author's Name | Masanori Yamada |
| 2nd Author's Affiliation | NTT Social Informatics Laboratories (NTT) |
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| Speaker | Author-1 |
| Date Time | 2022-06-27 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | IBISML |
| Paper # | NC2022-3, IBISML2022-3 |
| Volume (vol) | vol.122 |
| Number (no) | no.89(NC), no.90(IBISML) |
| Page | pp.14-19 |
| #Pages | 6 |
| Date of Issue | 2022-06-20 (NC, IBISML) |
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