| Paper Abstract and Keywords |
| Presentation |
2025-07-30 13:50
[Invited Lecture]
An Initial Study on a Method for Joint Noise Intensity Estimation and Model Fine-Tuning in Split Computing with Noise-Based Input Data Protection
Yuya Okada, Takayuki Nishio (ScienceTokyo) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This talk presents a study on defense techniques against inversion attacks in split computing, where a pre-trained neural network is partitioned and executed across multiple devices. Inversion attacks attempt to reconstruct input data from intermediate layer outputs. Prior studies have mitigated such attacks by injecting noise into the intermediate representations, thereby balancing inference accuracy and attack resilience. However, these approaches typically estimate the required noise intensity based on diagonal Fisher information, which incurs significant computational overhead.
In this study, we propose a method that jointly performs lightweight estimation of the necessary noise intensity and generates a correction vector to compensate for accuracy degradation caused by noise injection. Experimental results demonstrate that the proposed method effectively reduces the accuracy of input reconstruction by adversaries while preserving the original inference performance, all with significantly lower computational cost compared to existing methods. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
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| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| ISSN |
Online edition: ISSN 2432-6380 |
| Download PDF |
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| Conference Information |
| Committee |
SR RCS RCC SeMI NS RISING HCL |
| Conference Date |
2025-07-30 - 2025-08-01 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
MALIOS |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
RISING |
| Conference Code |
2025-07-SR-RCS-RCC-SeMI-NS-RISING-HCL |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
An Initial Study on a Method for Joint Noise Intensity Estimation and Model Fine-Tuning in Split Computing with Noise-Based Input Data Protection |
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| 1st Author's Name |
Yuya Okada |
| 1st Author's Affiliation |
Institute of Science Tokyo (ScienceTokyo) |
| 2nd Author's Name |
Takayuki Nishio |
| 2nd Author's Affiliation |
Institute of Science Tokyo (ScienceTokyo) |
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| Speaker |
Author-2 |
| Date Time |
2025-07-30 13:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
RISING |
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| Volume (vol) |
vol.125 |
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