Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2024-03-27 14:50 |
Hokkaido |
RUSUTSU RESORT |
Dependence on Complexity of Nonlinear Functions for Augmented DFA Method in Deep Learning Based on Optoelectronic Delay System Yuto Nagatsuka, Rin Nogami (Saitama Univ.), Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.), Atsushi Uchida, Kazutaka Kanno (Saitama Univ.) CCS2023-46 |
Increasing energy costs in deep learning have led to proposals for fast and efficient optical deep learning hardware. Th... [more] |
CCS2023-46 pp.42-47 |
ICM |
2024-03-21 09:20 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Intuitive Interaction System Based on Leg Movement Recognition Using Chair-embedded Camera Kaito Hamagaki, Shingo Ata, Manato Fujimoto (Osaka Metropolitan Univ.) ICM2023-45 |
Virtual Reality (VR) technology has rapidly evolved, expanding into education, healthcare, and entertainment, offering u... [more] |
ICM2023-45 pp.1-6 |
ICM |
2024-03-22 09:10 |
Okinawa |
Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Proposal of an implication relationship estimation method for information security related regulatory documents Kouki Nakanishi, Tkakani ikuko, Sakamoto Masanobu, Ohishi Haruo (NTT) ICM2023-51 |
In recent years, internal controls regarding information security have become increasingly important from the perspectiv... [more] |
ICM2023-51 pp.35-40 |
ICSS, IPSJ-SPT |
2024-03-22 10:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Improved signature-embedding techniques against backdoor attacks on DNN models Akira Fujimoto, Yuntao Wang, Atsuko Miyaji (OU) ICSS2023-87 |
In recent years, machine learning, particularly deep learning, has made remarkable strides, and has great impact on our ... [more] |
ICSS2023-87 pp.129-136 |
ICSS, IPSJ-SPT |
2024-03-22 10:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Discovery of a Vulnerable Structure of SIMON Variants Hayato Watanabe (Tokai Univ.), Ryoma Ito (NICT), Toshihiro Ohigashi (Tokai Univ.) ICSS2023-92 |
In SCIS 2024, Watanabe et al. applied a deep learning-based output prediction attack to SIMON variants, which are varian... [more] |
ICSS2023-92 pp.166-173 |
CAS, CS |
2024-03-14 13:30 |
Okinawa |
|
Characterization of Semantic Communications in Speech Signal Transmission Futo Iwanaga, Daisuke Umehara (Kyoto Inst. of Tech.) CAS2023-118 CS2023-111 |
In recent years, the volume of data in data communication has surged, Characterization of Semantic Communications in Spe... [more] |
CAS2023-118 CS2023-111 pp.41-46 |
AP |
2024-03-15 10:25 |
Fukui |
UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212 |
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] |
AP2023-212 pp.63-67 |
CAS, CS |
2024-03-15 14:20 |
Okinawa |
|
Recoloring aware Countermeasure against Adversarial Examples Chisei Ishida, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) CAS2023-134 CS2023-127 |
Adversarial Examples(AEs) which cause artificial intelligence (AI) to make a false prediction by embedded slight perturb... [more] |
CAS2023-134 CS2023-127 pp.128-133 |
CAS, CS |
2024-03-15 14:45 |
Okinawa |
|
Exploring Uniform Convergence in Neural Networks and its Implication on Generalization Error Zong Xianzhe, Hiroshi Tamura (CHUO Univ.) CAS2023-135 CS2023-128 |
Uniform Convergence, a well-established framework for evaluating generalization in traditional Machine Learning, frequen... [more] |
CAS2023-135 CS2023-128 pp.134-139 |
KBSE |
2024-03-15 14:50 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Learning data creation support tool for learning program defects using images Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2023-89 |
We have developed CNN-BI system that learns and infers defects from the images of programs. This paper introduces a tool... [more] |
KBSE2023-89 pp.132-137 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Improving classification accuracy of imaged malware through data expansion Kaoru Yokobori, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 |
Although malware-based attacks have existed for years,
malware infections increased in 2019 and 2020.
One of the reaso... [more] |
IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 pp.259-264 |
RCS, SR, SRW (Joint) |
2024-03-13 16:15 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
DOA Estimation Improvement Through Angle-Range-Reduced DNNs Specialized in Narrow DOA Range Daniel Akira Ando, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.) RCS2023-266 |
In this work, we propose a strategy based on deep neural networks (DNNs) intended to support our past DNN method for dir... [more] |
RCS2023-266 pp.71-76 |
RCS, SR, SRW (Joint) |
2024-03-13 16:40 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
A Plug-and-Play Module for Enhancing Fault-Tolerant Distributed Inference Based on Gaussian Dropout Hou Zhangcheng, Ohtsuki Tomoaki (KU) RCS2023-267 |
Distributed inference (DI) in the Internet of Things (IoT) is becoming increasingly important as the demand for AI appli... [more] |
RCS2023-267 pp.77-82 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:20 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Efficient regularizer for 4D light field image denoising based on graph-learning Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85 |
Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] |
IMQ2023-56 IE2023-111 MVE2023-85 pp.235-240 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 16:00 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study of Feature Visualization of Running Motion from RGB Videos Using Spatial Temporal Graph Convolutional Networks and Deep Metric Learning Haruya Tanaka, Chanjin Seo (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.), Jun Ohya (Waseda Univ.) IMQ2023-58 IE2023-113 MVE2023-87 |
In recent years, the running population has been increasing, and demand for coaching systems for amateur runners is expe... [more] |
IMQ2023-58 IE2023-113 MVE2023-87 pp.246-251 |
RCS, SR, SRW (Joint) |
2024-03-15 16:15 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
Study on Small Cell ON/OFF Control Using Different Frequency Cell Information Takaharu Kobayashi, Takashi Dateki (Fujitsu) RCS2023-292 |
In this paper, we propose small cell ON/OFF control without using UE position information and information on the proximi... [more] |
RCS2023-292 pp.176-181 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 09:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
IMQ2023-68 IE2023-123 MVE2023-97 |
We propose a simultaneous method of multimodal graph signal denoising and graph learning. Since sensor networks distribu... [more] |
IMQ2023-68 IE2023-123 MVE2023-97 pp.301-306 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99 |
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] |
IMQ2023-70 IE2023-125 MVE2023-99 pp.313-318 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 13:50 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
IMQ2023-87 IE2023-142 MVE2023-116 |
This paper introduces physics-inspired synthesized underwater image dataset (PHISWID).
Deep learning approaches to unde... [more] |
IMQ2023-87 IE2023-142 MVE2023-116 pp.396-401 |
ITS, IEE-ITS |
2024-03-11 14:00 |
Shiga |
BKC, Ritsumeikan Univ. (Primary: On-site, Secondary: Online) |
Doppler radar-based recognition of bicycle motions Ryoya Hayashi, Masao Masugi, Kenshi Saho (Ritsumeikan Univ.) ITS2023-80 |
In this report, we present the results of an experiment in which a Doppler radar-based method was used to detect four be... [more] |
ITS2023-80 pp.7-10 |