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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2025-03-05 14:30 |
Okinawa | Okinawaken Seinenkaikan (Okinawa) | [Poster Presentation]
Study on Universal Detector for Synthetic Media Based on Redundant Signals Extracted by JPEG Compression Akinobu Ura (Okayama Univ), Minoru Kuribayashi (Tohoku Univ), Ryota Seo, Nobuo Funabiki (Okayama Univ) |
[more] | |
| EMM | 2025-01-21 13:30 |
Miyagi | Tohoku Univ. (Miyagi) | White-box DNN Data Hiding for Vision Transformer Model Robust against Desynchronization Attacks Shuntaro Fukuoka, Shoko Imaizumi (Chiba Univ.), Minoru Kuribayashi (Tohoku Univ.)  EMM2024-104 |
Desynchronization attacks have been proposed as one type of effective attacks for white-box data hiding methods. These a... [more] | EMM2024-104 pp.7-12 |
| SIP, IT, RCS | 2024-01-19 13:30 |
Miyagi | (Miyagi, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Problem of Adversarial Attacks on CNN-based Image Classifiers and Countermeasures Minoru Kuribayashi (Tohoku Univ.) IT2023-67 SIP2023-100 RCS2023-242 |
It is well-known that discriminative models based on deep learning techniques may cause misclassification if adversarial... [more] | IT2023-67 SIP2023-100 RCS2023-242 p.204 |
| EMM | 2024-01-17 10:55 |
Miyagi | Tohoku Univ. (Miyagi, Online) (Primary: On-site, Secondary: Online) |
Detecting Adversarial Examples using Filtering Operation Based on JPEG-Compression-Derived Distortion Kenta Tsunomori (Okayama Univ.), Minoru Kuribayashi (Tohoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-87 |
Image classifiers based on convolutional neural networks are caused misclassification by adversarial perturbations. In t... [more] | EMM2023-87 pp.38-43 |
| EMM | 2024-01-17 11:20 |
Miyagi | Tohoku Univ. (Miyagi, Online) (Primary: On-site, Secondary: Online) |
A study on 3D model adaptation for generating patch-based adversarial perturbations Hiroto Takiwaki (Okayama Univ.), Minoru Kuribayashi (Touhoku Univ.), Nobuo Funabiki (Okayama Univ.) EMM2023-88 |
The development of facial recognition technology using machine learning has made it possible to recognize individuals fr... [more] | EMM2023-88 pp.44-49 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Nagasaki, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Human Head Position Detection Using OpenPose for Privacy Protection Ryota Seo, Chinatsu Tanaka, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2022-82 |
With the development of information technology, surveillance cameras equipped in the city area can be managed via the In... [more] | EMM2022-82 pp.78-83 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Nagasaki, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Gait Analysis Focusing on Operating Characteristics at Feature Points Detected by OpenPose Chinatsu Tanaka, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2022-83 |
A person's walking motion contains a variety of information, such as age and gender. Gait verification, which uses the i... [more] | EMM2022-83 pp.84-88 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Nagasaki, Online) (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Eliminating Malicious Node in Federated Learning Reon Akai, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ) EMM2022-84 |
Federated learning (FL) has been proposed to aggregate deep learning models trained at each node in order to utilize pri... [more] | EMM2022-84 pp.89-94 |
| IN, NS (Joint) |
2023-03-03 11:00 |
Okinawa | Okinawa Convention Centre + Online (Okinawa, Online) (Primary: On-site, Secondary: Online) |
An Extension of User-PC Computing System for NS-3 Network Simulations Lynn Htet Aung, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.), Haruki Gunji, Yuto Kokubun, Kiyoshi Ueda (Nihon Univ.) NS2022-233 |
Currently, we are developing the user-PC computing (UPC) system as a low-cost and high-performance distributed computing... [more] | NS2022-233 pp.378-383 |
| LOIS, ICM | 2023-01-20 10:30 |
Fukuoka | Kitakyushu International Conference Center (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
Development of Web Application for Generating Design QR Code Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) ICM2022-41 LOIS2022-41 |
QR code is a two-dimensional code and it is available to read the QR code reader on mobile phones and smart phones. Bas... [more] |
ICM2022-41 LOIS2022-41 pp.59-64 |
| MSS, SS | 2023-01-10 14:55 |
Osaka | (Osaka, Online) (Primary: On-site, Secondary: Online) |
An Implementation of Docker Image Generation Tool for User-PC Computing System Lynn Htet Aung, Nobuo Funabiki, Hein Htet, Xudong Zhou, Xu Xiang, Minoru Kuribayashi (Okayama Univ.) MSS2022-47 SS2022-32 |
As a low-cost, scalable, and high-performance computing platform, we have studied the user-PC computing system (UPC). To... [more] | MSS2022-47 SS2022-32 pp.13-18 |
| MSS, SS | 2023-01-10 15:20 |
Osaka | (Osaka, Online) (Primary: On-site, Secondary: Online) |
Extensions of Air Conditioning Optimization Guidance System for Improved Ventilation Instructions Masaki Sakagami, Kazushi Hamazaki, Sho Ito, Tomoya Nagayama, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) MSS2022-48 SS2022-33 |
Currently, we are developing the air conditioning optimization guidance system called AC-Guide. For saving energy and im... [more] | MSS2022-48 SS2022-33 pp.19-24 |
| RCS, NS (Joint) |
2022-12-15 11:40 |
Aichi | Nagoya Institute of Technology, and Online (Aichi, Online) (Primary: On-site, Secondary: Online) |
A Feasibility Study of Interface Setup Optimization Method Using Throughput Estimation Model for Concurrently Communicating Three Access-Points in Wireless Local-Area Network Fatema Akhter, Nobuo Funabiki, Bin Wu, Melki Mario Gulo, Sujan Chandra Roy, Minoru Kuribayashi (Okayama Univ.) NS2022-132 |
The IEEE 802.11n wireless local-area network (WLAN) has become popular for the Internet access due to simple installatio... [more] | NS2022-132 pp.23-28 |
| RCS, NS (Joint) |
2022-12-15 12:05 |
Aichi | Nagoya Institute of Technology, and Online (Aichi, Online) (Primary: On-site, Secondary: Online) |
Two extensions of indoor localization system using IEEE802.15.4 for detection accuracy improvements Kazushi Hamazaki, Yuanzhi Huo, Pradini Puspitaningayu, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) NS2022-133 |
Currently, we are developing FILS15.4 (Fingerprint-based indoor localization system using IEEE802.15.4) as a low-cost, s... [more] | NS2022-133 pp.29-33 |
| NS, ICM, CQ, NV (Joint) |
2022-11-25 10:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
A Study of Active Access-Point Configuration Algorithm under IEEE 802.11n and 11ac Dual Interfaces with Channel Bonding in Wireless Local-Area Network Sujan Chandra Roy, Nobuo Funabiki, Md. Mahbubur Rahman, Yuanshuai Sun, Bin Wu, Minoru Kuribayashi (Okayama Univ.) NS2022-120 |
Wireless local-area networks (WLANs) have been popular at the Internet access around the world due to high-speed and fle... [more] | NS2022-120 pp.113-118 |
| NS, ICM, CQ, NV (Joint) |
2022-11-25 11:10 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
An Extension of Throughput Request Satisfaction Method to Throughput Maximization for Concurrently Communicating Hosts in Wireless Local-Area Network with Two Access-Points Bin Wu, Nobuo Funabiki, Md. Mahbubur Rahman, Sujan Chandra Roy, Yuan-Shuai Sun, Minoru Kuribayashi (Okayama Univ.) NS2022-121 |
IEEE 802.11 wireless local-area networks (WLANs) have been widely used around the world. In WLAN, the throughput unfairn... [more] | NS2022-121 pp.119-124 |
| IT, EMM | 2022-05-17 15:05 |
Gifu | Gifu University (Gifu, Online) (Primary: On-site, Secondary: Online) |
Generating patch-wise adversarial examples for avoidance of face recognition system and verification of its robustness Hiroto Takiwaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama univ.) IT2022-5 EMM2022-5 |
Advances in machine learning technologies such as Convolutional Neural Networks (CNN) have made it possible to identify ... [more] | IT2022-5 EMM2022-5 pp.23-28 |
| IT, EMM | 2022-05-17 15:30 |
Gifu | Gifu University (Gifu, Online) (Primary: On-site, Secondary: Online) |
A study of adversarial example detection using the correlation between adversarial noise and JPEG compression-derived distortion Kenta Tsunomori, Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Isao Echizen (NII) IT2022-6 EMM2022-6 |
Adversarial examples cause misclassification of image classifiers. Higashi et al. proposed a method to detect adversari... [more] | IT2022-6 EMM2022-6 pp.29-34 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online (Online) | [Poster Presentation]
A Study on Convergency of DNN Watermarking without Embedding Loss Function Takuro Tanaka, Tatsuya Yasui, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2021-35 EMM2021-62 |
Intellectual Property Rights protection related to Deep Neural Networks is an important issue due to the high cost of tr... [more] | EA2021-35 EMM2021-62 pp.49-54 |
| EMM, IT | 2021-05-21 13:10 |
Online | Online (Online) | A Study of Detecting Adversarial Examples Using Sensitivities to Multiple Auto Encoders Yuma Yamasaki, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) IT2021-11 EMM2021-11 |
By removing the small perturbations involved in adversarial examples, the image classification result returns to the cor... [more] | IT2021-11 EMM2021-11 pp.60-65 |
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