Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICSS, IPSJ-SPT |
2024-03-22 14:55 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Adversarial Examples with Missing Perturbation Using Laser Irradiation Daisuke Kosuge, Hayato Watanabe, Taiga Manabe, Yoshihisa Takayama, Toshihiro Ohigashi (Tokai Univ.) ICSS2023-97 |
In recent years, neural networks have made remarkable progress in the field of image processing and other areas, and the... [more] |
ICSS2023-97 pp.201-207 |
SIS |
2024-03-14 14:50 |
Kanagawa |
Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Improvement of Detection Accuracy for Detection of Calcification Regions in Dental Panoramic Radiographs Using LVAT Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-50 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. The sudden... [more] |
SIS2023-50 pp.27-32 |
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 |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Performance Evaluation of Visible Light Communication System Using Imaginary Images based Image Classifier Masataka Naito, Tadahiro Wada, Kaiji Mukumoto (Shizuoka Univ.), Hiraku Okada (Nagoya Univ.) IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 |
For visible light communication systems that utilizes machine learning-based image classifiers for information embedding... [more] |
IT2023-78 ISEC2023-77 WBS2023-66 RCC2023-60 pp.20-25 |
NC, MBE (Joint) |
2024-03-12 13:30 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Diffusion-Based Immediate Adversarial Purification Yuito Narisawa, Motonobu Hattori (Yamanashi Univ.) NC2023-56 |
Neural networks have achieved high performance in image classification, but there is a problem known as Adversarial Exam... [more] |
NC2023-56 pp.75-80 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 09:12 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Creating Adversarial Examples to Deceive Both Humans and Machine Learning Models Ko Fujimori (Waseda Univ.), Toshiki Shibahara (NTT), Daiki Chiba (NTT Security), Mitsuaki Akiyama (NTT), Masato Uchida (Waseda Univ.) PRMU2023-65 |
One of the vulnerability attacks against neural networks is the generation of Adversarial Examples (AE), which induce mi... [more] |
PRMU2023-65 pp.82-87 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 09:36 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Disabling Adversarial Examples through Color Information Processing Ryo Soeda, Masato Uchida (Waseda Univ.) PRMU2023-67 |
Image classification using neural networks is expected to have a wide range of applications, including automated driving... [more] |
PRMU2023-67 pp.94-99 |
SeMI, IPSJ-UBI, IPSJ-MBL |
2024-02-29 15:10 |
Fukuoka |
|
Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] |
SeMI2023-75 pp.25-30 |
VLD, HWS, ICD |
2024-03-02 09:20 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Countermeasure on AI Hardware against Adversarial Examples Kosuke Hamaguchi, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) VLD2023-134 HWS2023-94 ICD2023-123 |
The demand for edge AI, in which artificial intelligence (AI) is directly embedded in devices, is increasing, and the se... [more] |
VLD2023-134 HWS2023-94 ICD2023-123 pp.184-189 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 10:45 |
Hokkaido |
Hokkaido Univ. |
Brightness Adjustment based Countermeasure against Adversarial Examples Takumi Tojo, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) ITS2023-47 IE2023-36 |
Recently, image classification using deep learning AI has been used for in-vehicle AI, and its accuracy and response spe... [more] |
ITS2023-47 IE2023-36 pp.7-12 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 11:00 |
Hokkaido |
Hokkaido Univ. |
Improving Adversarial Robustness in Continual Learning Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-48 IE2023-37 |
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] |
ITS2023-48 IE2023-37 pp.13-18 |
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 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Two-Stage Malware Detection Using Calling API Sequences Kohei Tsunewaki, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
We propose a two-step malware detection method based on intrinsic features of calling API (Application Programming Inter... [more] |
|
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Detecting Poisoning Attacks Using Adversarial Examples in Deep Phishing Detection Koko Nishiura, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
In recent years, the convenience of online services has greatly improved, but the number of phishing scams has skyrocket... [more] |
|
AI |
2023-09-12 15:35 |
Hokkaido |
|
Variational Autoencoder Oriented Protection for Intellectual Property Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) AI2023-31 |
In recent years, generative AI, which generates images based on instructions in natural language, has developed rapidly ... [more] |
AI2023-31 pp.180-186 |
MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-26 10:50 |
Tokyo |
TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
Simulation Evaluation of Hidden Screen-Camera Visible Light Communications Using Adversarial Examples on Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) WBS2023-6 RCC2023-6 |
A screen-camera communication has been proved that it is cost-efficient and intuitive to common users. Furthermore, hidd... [more] |
WBS2023-6 RCC2023-6 pp.29-34 |
RCC, ISEC, IT, WBS |
2023-03-14 09:50 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
A Proposal of Visible Light Communication System using Image Classifier based on Imaginary Images Masataka Naito, Tadahiro Wada, Kaiji Mukumoto (Shizuoka Univ.), Hiraku Okada (Nagoya Univ.) IT2022-70 ISEC2022-49 WBS2022-67 RCC2022-67 |
We have proposed a new method of information embedding in visible light communication by using an image classifier based... [more] |
IT2022-70 ISEC2022-49 WBS2022-67 RCC2022-67 pp.13-18 |
ICSS, IPSJ-SPT |
2023-03-13 14:20 |
Okinawa |
Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
Dynamic Analysis of Adversarial Attacks Kentaro Goto (JPNIC), Masato Uchida (Waseda Univ.) ICSS2022-52 |
In this study, we propose a method for identifying the characteristics of attack methods by operating them as “samples” ... [more] |
ICSS2022-52 pp.25-30 |