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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-24 16:20 |
Hokkaido | Hokkaido Jichiro Kaikan | A Random Ensemble Method with Encrypted Models for Improving Robustness against Adversarial Examples Ryota Iijima, Miki Tanaka, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.)  ISEC2023-27 SITE2023-21 BioX2023-30 HWS2023-27 ICSS2023-24 EMM2023-27 |
[more] | ISEC2023-27 SITE2023-21 BioX2023-30 HWS2023-27 ICSS2023-24 EMM2023-27 pp.86-90 |
| EMM | 2023-01-26 09:55 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On the Transferability of Adversarial Examples between Isotropic Network and CNN models Miki Tanaka (Tokyo Metropolitan Univ.), Isao Echizen (NII), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-62 |
Deep neural networks are well known to be vulnerable to adversarial examples (AEs). In addition, AEs generated for a sou... [more] | EMM2022-62 pp.7-12 |
| CAS, SIP, VLD, MSS | 2022-06-16 14:40 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
Adversarial Robustness of Secret Key-Based Defenses against AutoAttack Miki Tanaka, April Pyone MaungMaung (Tokyo Metro Univ.), Isao Echizen (NII), Hitoshi Kiya (Tokyo Metro Univ.) CAS2022-7 VLD2022-7 SIP2022-38 MSS2022-7 |
Deep neural network (DNN) models are well-known to easily misclassify prediction results by using input images with smal... [more] | CAS2022-7 VLD2022-7 SIP2022-38 MSS2022-7 pp.34-39 |
| EMM | 2022-03-07 15:55 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Video Forgery Detection Using a Robust Hashing Algorithm Shoko Niwa, Miki Tanaka, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-102 |
In this paper, we propose a method to detect the editing of video signals using a robust hashing algorithm. The assumed ... [more] | EMM2021-102 pp.58-63 |
| EMM | 2022-03-07 17:00 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
Extention of robust image classification system with Adversarial Example Detectors Miki Tanaka, Takayuki Osakabe, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-105 |
In image classification with deep learning, there is a risk that an attacker can intentionally manipulate the prediction... [more] | EMM2021-105 pp.76-80 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
A consideration of training datasets for universal detectors of CNN-generated images Miki Tanaka, Hitoshi Kiya (Tokyo Metro. Univ.) EA2021-32 EMM2021-59 |
Recent rapid advances in convolutional neural networks (CNNs) have made manipulating and generating images easy, so synt... [more] | EA2021-32 EMM2021-59 pp.31-36 |
| EMM, IT | 2021-05-20 14:35 |
Online | Online | A universal detector of CNN-generated images based on properties of checkerboard artifacts Miki Tanaka, Hitoshi Kiya (Metro Univ.) IT2021-3 EMM2021-3 |
We propose a universal detector of images generated by using any CNNs to detect CNN-generated images. We consider prope... [more] |
IT2021-3 EMM2021-3 pp.13-18 |
| SIS, ITE-BCT | 2020-10-01 13:20 |
Online | Online | Robustness Evaluation of Detectinon methods for Image manipulation with GANs Miki Tanaka, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2020-14 |
Recent rapid advances in image manipulation tools and deep image synthesis techniques, such as Generative Adversarial Ne... [more] | SIS2020-14 pp.23-28 |
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