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All Technical Committee Conferences (Searched in: All Years)
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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, IST, IEICE-BioX, IEICE-SIP, IEICE-MI, IEICE-IE [detail] |
2024-06-06
13:20 |
Niigata |
Nigata University (Ekinan-Campus "TOKIMATE") |
Enhanced Security with Random Binary Weights for Privacy-Preserving Federated Learning
Hiroto Sawada, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (TMU) |
In this paper, we propose a novel method for enhancing security in privacy-preserving federated learning under the use o... [more] |
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| IST |
2023-06-21
13:10 |
Tokyo |
Tokyo University of Science Morito Memorial Hall |
[Poster Presentation]
Design of image sensors for the cameras to protect privacy
Tomoki Nakamura, Keiichiro Kagawa, Keita Yasutomi, Shoji Kawahito (Shizuoka Univ.), Hajime Nagahara (Osaka Univ.) |
In this paper, we propose an image sensor for privacy protection and show its basic configuration. The image sensor outp... [more] |
IST2023-22
pp.11-12 |
| BCT, IEICE-SIS |
2022-10-13
13:55 |
Aomori |
Hachinohe Institute of Technology
(Primary: On-site, Secondary: Online) |
An 8K image perceptual scramble scheme for JPEG XS standard
Takayuki Nakachi (Univ. of the Ryukyus), Hiroyuki Kimiyama (Daido), Mitsuru Murayama (KAIST) |
In this report, we propose a scrambled image compression algorithm for the JPEG XS standard. The JPEG XS is a low-delay,... [more] |
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| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:00 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
An Image Transformation Network for Privacy-Preserving Deep Neural Networks
Hiroki Ito, Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) |
We propose an image transformation network to generate visually-protected images for privacy-preserving deep neural netw... [more] |
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| AIT, IIEEJ, AS |
2015-03-14
14:45 |
Tokyo |
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A study on phased information disclosure with personal identification concealment by image
Ryuichiro Goda, Takahashi Hiroki (UEC) |
Nowadays, it is easier to share the information in a large framework compared with the past, As for it, the numbers of d... [more] |
AIT2015-65
pp.103-106 |
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