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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 1386  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
13:00
Hokkaido RUSUTSU RESORT Training of Encoder-Decoder models and its application towards edge computing
Koki Nobori, Hiiro Yamazaki, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-42
This study investigates the use of the Encoder-Decoder architecture and its application to generative AI for learning on... [more] CCS2023-42
pp.18-23
ICSS, IPSJ-SPT 2024-03-21
16:10
Okinawa OIST
(Primary: On-site, Secondary: Online)
Considerations on Differential Privacy Mechanisms in MNIST
Naoki Kawahara, Pengxuan Wei, Ryunosuke Higashi, Kenta Okada, Tatsuhiro Yamatsuki, Atsuko Miyaji (Osaka Univ.) ICSS2023-81
In recent years, data utilization technologies, including machine learning, have been steadily advancing. One means of p... [more] ICSS2023-81
pp.85-92
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
11:20
Okinawa OIST
(Primary: On-site, Secondary: Online)
Evaluation of Feature Inference Risk from Explainable AI metrics LIME and Shapley Values
Ryotaro Toma, Hiroaki Kikuchi (Meiji Univ.) ICSS2023-88
Explainability has gained attention to ensure fairness and transparency in machine learning models, providing users with... [more] ICSS2023-88
pp.137-144
ICSS, IPSJ-SPT 2024-03-22
12:10
Okinawa OIST
(Primary: On-site, Secondary: Online)
Study of the Label-Flipping Poisoning Attack on Machine-Learning Based Malicious URL Query Detection.
Akira Matsunami (Nagoya Univ.), Hirokazu Hasegawa (NII), Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.) ICSS2023-90
In recent years, there have been a large increase of cyber attacks with increasing use of web applications. A method to... [more] ICSS2023-90
pp.153-159
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2024-03-23
11:45
Nagasaki Ikinoshima Hall
(Primary: On-site, Secondary: Online)
Evaluating composition of quantum circuit and learnability in quantum neural network with NISQ devices
Naoki Marumo (Waseda Univ.), Yasutaka Wada (Meisei Univ.), Kazunori Ueda, Keiji Kimura (Waseda Univ.) CPSY2023-52 DC2023-118
The more numbers of repeat of Ansatz and the more qubit entangling improve learnability of quantum machine learning by v... [more] CPSY2023-52 DC2023-118
pp.82-87
EMCJ, MICT
(Joint)
2024-03-15
10:55
Shimane   Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data
Tatsunoshin Shinmi (The Univ. of Electro-Communications), Naoya Tokiwa (RAKUS Partners), Junichi Shibata, Toshikazu Suzuki (iD), Takehiko Kashiwagi (The Univ. of Electro-Communications), Tatsuya Moe (RAKUS Partners), Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami (The Univ. of Electro-Communications) MICT2023-79
Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy ... [more] MICT2023-79
pp.12-16
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
SIS 2024-03-15
10:40
Kanagawa Kanagawa Institute of Technology
(Primary: On-site, Secondary: Online)
A study of low-level Gaussian noise estimating by using machine learning
Takashi Suzuki (MicroTechnica), Tomoaki Kimura (Kanagawa institute of technology) SIS2023-57
In this study, we investigate a noise estimation method for low-level Gaussian noise with a standard deviation of less t... [more] SIS2023-57
pp.67-72
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) Research on safety verification of Japanese stamp
Uehara Asato (NTT-Me), Matsuzawa Yuito, Sugita Makoto (SUS) IT2023-75 ISEC2023-74 WBS2023-63 RCC2023-57
In recent years, machine learning has been used with high accuracy in the security field for handwriting appraisal and f... [more] IT2023-75 ISEC2023-74 WBS2023-63 RCC2023-57
pp.1-4
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) An improvement method and security evaluation for the method of protecting ownership using digital watermark
Dung Ta Anh, Hidema Tanaka (NDA) IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
Since developing high-performance AI models requires significant time and cost, it is common to customize publicly avail... [more] IT2023-76 ISEC2023-75 WBS2023-64 RCC2023-58
pp.5-11
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14
Osaka Osaka Univ. (Suita Campus) Comparison of accuracy of classification methods using machine learning for imaged malware
Kenta Usui, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96
In recent years, the damage caused by malware has become more serious, and the increase in the number of variants of exi... [more] IT2023-114 ISEC2023-113 WBS2023-102 RCC2023-96
pp.254-258
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
LOIS 2024-03-14
14:05
Okinawa Okinawa Pref Danjyo-Kyoudou-Sankaku Center
(Primary: On-site, Secondary: Online)
Address Classification Method Considering Address Cluster in Blockchain
Tomohiro Ojika, Shin Morishima (Toyama Prefectural Univ) LOIS2023-65
Blockchain is widely used for multiple applications because of its different features from existing finance, but due to ... [more] LOIS2023-65
pp.102-107
NLP, MSS 2024-03-13
13:55
Misc. Kikai-Shinko-Kaikan Bldg. Improvement of TimesNet's Inception Module in Time Series Prediction
Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] MSS2023-77 NLP2023-129
pp.35-37
NLP, MSS 2024-03-13
15:25
Misc. Kikai-Shinko-Kaikan Bldg. Machine learning-based solubility prediction and meta-heuristic search for multiple mutation patterns
Kaisei Kojima, Kazutoshi Sakakibara, Masaki Nakamura (Toyama Prefectural Univ.), Daisuke Matsui (Ritsumeikan Univ.) MSS2023-80 NLP2023-132
In order to solubilize insoluble proteins that cannot be used for industrial purposes, experiments have been performed t... [more] MSS2023-80 NLP2023-132
pp.48-53
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
15:40
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
A study on figure skater's motion analysis for AI based jump classification
Tomoya Tsubai, Nobutaka Kuroki, Masahiro Numa (Kobe Univ.) IMQ2023-53 IE2023-108 MVE2023-82
This paper proposes a method for recording time-series data from MediaPipe Pose and a method for configuring a neural ne... [more] IMQ2023-53 IE2023-108 MVE2023-82
pp.220-223
IA, SITE, IPSJ-IOT [detail] 2024-03-12
16:00
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Improvement of Unknown Malicious Domain Detection Based on DNS Query History Analysis
Hiroto Yamada, Daiki Nobayashi, Takeshi Ikenaga (kyutech) SITE2023-83 IA2023-89
Network users are increasing and there is concern about the malware infection.
In some cases, malware-infected terminal... [more]
SITE2023-83 IA2023-89
pp.92-97
EE 2024-03-11
09:15
Tokyo
(Primary: On-site, Secondary: Online)
Design Methodology for Load-Independent WPT Systems Using Machine Learning
Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) EE2023-58
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning.
... [more]
EE2023-58
pp.6-11
NC, MBE
(Joint)
2024-03-11
11:40
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Basic Consideration for the Effect of Gait Data Measured by a Simple Accelerometer on the Performance of Frailty Symptom Classifiers
Takumi Chino (Shinshu Grad school), Mizue Kayama (Shinshu Univ.), Masaki Tachibana (Shinshu Grad school), Taishi Wakitani, Nobuyuki Tachi (Shinshu Univ.), Takashi Nagai (Inst of Tech) MBE2023-71
The purpose of this study is to explore the possibility of preventing frailty symptoms through gait characteristics comp... [more] MBE2023-71
pp.13-18
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