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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2023-03-03 10:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
System to Prevent Distribution of Art Forgeries Using IOTA Yusuke Abe, Kitahiro Kaneda, Keiichi Iwamura (TUS)  EMM2022-90 |
The global art market is a large industry, worth $65 billion annually. However, art forgeries are frequently circulated.... [more] | EMM2022-90 pp.122-127 |
| SR, UWT (Joint) |
2023-01-27 10:55 |
Tokyo | Takanawa Campus, Tokai Univ. (Primary: On-site, Secondary: Online) |
A Study on Reinforcement Learning-Based Adaptive Random Walk SGD for Attack-Resilient Decentralized Federated Learning Masakazu Okamoto (Tokyo Univ. of Science), Koya Sato (UEC), Keiichi Iwamura (Tokyo Univ. of Science) SR2022-76 |
[more] | SR2022-76 pp.20-27 |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 09:55 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Highly Accurate Privacy-Enhanced Federated Learning Using Data On The Server Yuta Kakizaki (TUS), Koya Sato (UEC), Keiichi Iwamura (TUS) NS2022-100 |
Federated learning is a cooperative machine learning approach that prohibits disclosing training data from distributed d... [more] | NS2022-100 pp.1-6 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-24 14:05 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Video watermarking method of embedding multiplexed watermark information and tampering detection patterns Eri Odaira (TUS), Naoto Kawamura (Kawamura Techno Lab.), Hyunho Kang (NIT, Tokyo College), Keiichi Iwamura (TUS) CS2022-52 IE2022-40 |
We investigate a watermarking method that rapidly embeds primary and secondly information into each frame of videos at t... [more] | CS2022-52 IE2022-40 pp.21-26 |
| IT, EMM | 2022-05-17 15:55 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
Examination of round color 2D symbol for B2C with display area and secret data area Nobuyuki Teraura (Terrara Code), Isao Echizen (NII), Keiichi Iwamura (TUS) IT2022-7 EMM2022-7 |
We examined 2D symbols for B2C applications. QR code is a matrix-type 2D symbol announced in 1994. Since QR code was dev... [more] | IT2022-7 EMM2022-7 pp.35-40 |
| ICSS, IPSJ-SPT | 2022-03-08 11:20 |
Online | Online | A Method for Content Rights Succession and Editing Control Extended to Multi-dimensional Mesh Structures Shinjiro Izumi (TUS), Masaki Inamura (Hiroshima City Univ.), Keiichi Iwamura (TUS) ICSS2021-71 |
In recent years, the CGM media, which is created and distributed by consumers themselves, has become popular, such as Yo... [more] | ICSS2021-71 pp.72-77 |
| ICSS, IPSJ-SPT | 2022-03-08 15:30 |
Online | Online | Secure Computation Using Secret Sharing Scheme that can be Configured on a Single Server and is Safe from Malicious Adversaries and Cheaters in the TTP Keiichi Iwamura, Ryoya Kudo (TUS), Masaki Inamura (Hiroshima City Univ.) ICSS2021-81 |
A secret sharing scheme that can be executed on a single server using TTP has been proposed. In this method, the entire ... [more] | ICSS2021-81 pp.135-140 |
| EMM, EA, ASJ-H | 2021-11-15 13:30 |
Online | Online | [Poster Presentation]
Improving a tracking accuracy using Artificial Fiber Patterns by introducing Wrinkle on clothes and body shape determination Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) EA2021-38 EMM2021-65 |
Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent yea... [more] | EA2021-38 EMM2021-65 pp.63-68 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 10:55 |
Online | Online | A Study on Decentralized Machine Learning with Differential Privacy based on Input Perturbation Masakazu Okamoto, Koya Sato, Keiichi Iwamura (Tokyo Univ. of Science) SR2021-34 |
Distributed machine learning eliminates the need for users to disclose their data to the out of the terminal since train... [more] | SR2021-34 pp.67-72 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 13:25 |
Online | Online | An Evaluation of Learning Accuracy in Federated Learning with Local Differential Privacy Yuta Kakizaki, Koya Sato, Keiichi Iwamura (Tokyo Univ. of Science) SR2021-37 |
In federated learning, where each device learns cooperatively without disclosing the training data, the privacy level ca... [more] | SR2021-37 pp.87-93 |
| EMM, IT | 2021-05-20 15:00 |
Online | Online | Improving a tracking accuracy using Artificial Fiber Patterns by applying a new image processing method Hiroki Urakawa, Kitahiro Kaneda, Keiichi Iwamura (TUS) IT2021-4 EMM2021-4 |
Due to the low cost of equipment, the number of surveillance cameras installed has increased significantly in recent yea... [more] | IT2021-4 EMM2021-4 pp.19-24 |
| EMM, IT | 2021-05-20 15:25 |
Online | Online | Embedding Area Detection of Digital Watermarking with Transfer Learning Sayoko Kakikura (TUS), Hyunho Kang (NITTC), Keiichi Iwamura (TUS), Naoto Kawamura (Kawamura Techno Lab.) IT2021-5 EMM2021-5 |
Digital watermarking is a technology for hiding information in digital media such as images, video, and audio. In this p... [more] | IT2021-5 EMM2021-5 pp.25-30 |
| EMM | 2021-01-28 14:45 |
Online | Online | Proposal of a method using color extraction processing in the QR code authenticity judgment algorithm Kohei Shirai, Kitahiro Kaneda, Keiichi Iwamura (Tokyo Univ. of Science) EMM2020-64 |
(To be available after the conference date) [more] | EMM2020-64 pp.19-24 |
| EA, ASJ-H, EMM | 2020-11-20 13:30 |
Online | Online | [Poster Presentation]
Improved accuracy of QR code authenticity judgment algorithm Kengo Sato (TUS), Kitahiro Kaneda (OPU), Keiichi Iwamura (TUS) EA2020-43 EMM2020-58 |
E-mail: †{sato_kengo, kaneda}@sec.ee.kagu.tus.ac.jp, ‡iwamura@ee.kagu.tus.ac.jp Abstract Currently, the distribution... [more] |
EA2020-43 EMM2020-58 pp.117-122 |
| EMM | 2020-03-05 16:45 |
Okinawa | (Cancelled but technical report was issued) |
[Poster Presentation]
Detection of Video Alterations using Machine Learning with High-Frequency Features Hiroki Ueda (Tokyo Univ. of Sci.), Hyunho Kang (NIT, Tokyo College), Keiichi Iwamura (Tokyo Univ. of Sci.) EMM2019-120 |
Recently, security cameras have been installed in various places such as the lobby of a building, an urban area, and a d... [more] | EMM2019-120 pp.97-100 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 10:40 |
Osaka | I-Site Nanba（Osaka） | [Poster Presentation]
A Study on Efficient Secure Routing Protocol based on AODV for Large Scale Ad Hoc Networks Yuma Shibasaki, Koya Sato, Keiichi Iwamura (TUS) RCC2019-31 NS2019-67 RCS2019-124 SR2019-43 SeMI2019-40 |
This paper proposes a secure routing protocol based on Ad hoc On-demand Distance Vector (AODV) that achieves both securi... [more] | RCC2019-31 NS2019-67 RCS2019-124 SR2019-43 SeMI2019-40 pp.101-106(RCC), pp.127-132(NS), pp.123-128(RCS), pp.133-138(SR), pp.115-120(SeMI) |
| EMM, IT | 2019-05-23 14:25 |
Hokkaido | Asahikawa International Conference Hall | A study on printer dependency on feature points for barcode forensics Kohei Shirai, Kitahiro Kaneda, Keiichi Iwamura (Tokyo Univ. of Science) IT2019-2 EMM2019-2 |
(To be available after the conference date) [more] | IT2019-2 EMM2019-2 pp.7-12 |
| EMM | 2019-03-14 10:40 |
Okinawa | TBD | Implementation of Digital Signature to QR Symbol with Compatible using Subcell Division and Double Encoding Nobuyuki Teraura (Terrara Code), Isao Echizen (NII), Keiichi Iwamura (TUS) EMM2018-113 |
(To be available after the conference date) [more] | EMM2018-113 pp.117-122 |
| EMM | 2018-01-30 11:30 |
Miyagi | Tohoku Univ. (Aobayama Campus) | Study of a new information extraction method using a single dot method with machine learning technique Yuki Matsue, Kitahiro Kaneda, Keiichi Iwamura (TUS), Isao Echizen (NII) EMM2017-75 |
[more] | EMM2017-75 pp.49-54 |
| SITE, EMM, ISEC, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] | 2017-07-15 13:50 |
Tokyo | Study of template matching application of steganography ANGO Hirokazu Ishizuka (Mitsubishi Electric), Isao Echizen (NII), Keiichi Iwamura (TUS), Koichi Sakurai (Kyushu Univ.) ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 |
We propose a method ANGO(=Asymmetric Nondestractive steGanOgraphy) to extract different third information by two(o... [more] | ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 pp.247-252 |
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