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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 71  /  [Next]  
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
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