Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, IT, RCS |
2024-01-19 13:30 |
Miyagi |
(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. (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. (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 (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 (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 (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 |
LOIS, ICM |
2023-01-20 10:30 |
Fukuoka |
Kitakyushu International Conference Center (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 15:20 |
Osaka |
(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 12:05 |
Aichi |
Nagoya Institute of Technology, and 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 |
IT, EMM |
2022-05-17 15:05 |
Gifu |
Gifu University (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 (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 |
[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 |
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 |
EMM, IT |
2021-05-21 13:35 |
Online |
Online |
A Study on Feature Extraction Suitable for Double JPEG Compression Analysis Based on Statistical Bias Observation of DCT Coefficients Daichi Takeshita, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) IT2021-12 EMM2021-12 |
Pictures taken by smart phones and camera devices are generally compressed by JPEG by default when they are saved. If su... [more] |
IT2021-12 EMM2021-12 pp.66-71 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 10:30 |
Online |
Online |
An Implementation of Ventilation Request Function in Air-Conditioning Guidance System Masaki Sakagami, Yuanzhi Huo, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) LOIS2021-1 |
For optimizing the air-conditioning environment in a room, we have developed the air-conditioning guidance system (AC-Gu... [more] |
LOIS2021-1 pp.1-6 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 10:55 |
Online |
Online |
Extensions of Answer Analysis Function for Programming Learning Assistant System Kazuki Nishimura, Koshiro Iwamoto, Htoo Htoo Sandi Kyaw, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ.) LOIS2021-2 |
To support self-studies of students and reduce loads of teachers in programming educations, we have developed the Web-ba... [more] |
LOIS2021-2 pp.7-12 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 11:20 |
Online |
Online |
Extensions of Indoor Localization System Using IEEE802.15.4 Protocol for Multiple Users Kazushi Hamazaki, Pradini Puspitaningayu, Nobuo Hunabiki, Minoru Kuribayashi (Okayama Univ) LOIS2021-3 |
For the low-cost, small-size, and long-life system, we have developed the fingerprint-based indoor localization system (... [more] |
LOIS2021-3 pp.13-18 |
LOIS, IPSJ-SPT, IPSJ-CN |
2021-05-10 11:45 |
Online |
Online |
A Study of Parameter Optimization Method for Fingerprint-based Indoor Localization System Using IEEE 802.15.4 Devices Yuanzhi Huo, Pradini Puspitaningayu, Kazushi Hamazaki, Nobuo Funabiki, Minoru Kuribayashi (Okayama Univ), Kazuyuki Kojima (Shonan Institute of Technology) LOIS2021-4 |
To achieve the high accuracy while wearing an inexpensive, tiny, and long-life transmitter, we have developed a fingerpr... [more] |
LOIS2021-4 pp.19-24 |
EMM |
2021-03-04 14:00 |
Online |
Online |
[Poster Presentation]
A study of face detection and its privacy protection in photos taken by wide-angle surveillance camera Koki Nakai, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Sohei Fujii, Hiroyuki Ishihara (Systems nakashima) EMM2020-69 |
In this paper, we propose a privacy protection system that detects human faces from images taken by a wide-angle camera,... [more] |
EMM2020-69 pp.13-18 |
EMM |
2021-03-04 14:15 |
Online |
Online |
[Poster Presentation]
Detection of Adversarial Examples in CNN Image Classifiers Using Features Extracted with Multiple Strengths of Filter Akinori Higashi, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.), Huy Hong Nguyen, Isao Echizen (NII) EMM2020-70 |
Deep learning has been used as a new method for machine learning, and its performance has been significantly improved. A... [more] |
EMM2020-70 pp.19-24 |