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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CCS 2024-03-27
16:50
Hokkaido RUSUTSU RESORT JPEG Compression Quality Setting Considering Image Quality and Information Loss for Correlated Steganography
Mariiko Aikawa, Sumiko Miyata (SIT), Kaito Hosono, Hirotsugu Kinoshita (KU) CCS2023-50
As more and more confidential information, including personal information, is transmitted and received over the Internet... [more] CCS2023-50
pp.64-69
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
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 2022-03-08
09:55
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Study on JPEG Compression Resistant Watermarking Method Trained with Quantized Activation Function
Shingo Yamauchi, Masaki Kawamura (Yamaguchi Univ.) EMM2021-110
We propose a watermarking method that introduces a quantized activation function to acquire robustness against quantizat... [more] EMM2021-110
pp.95-100
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
EA, ASJ-H, EMM 2020-11-20
09:00
Online Online [Poster Presentation] Evaluation on JPEG Image Compression History Analysis Using Histogram of DCT Coefficients with Different Block Size
Naoya Nakajima, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EA2020-30 EMM2020-45
The image taken with a digital comera is usually JPEG-compressed when saved. On the other hand, the tampered image is ca... [more] EA2020-30 EMM2020-45
pp.48-53
PRMU 2020-09-02
15:30
Online Online Evaluation and Analysis of JPEG Compression Effects on CNN-based Camera Model Classification
Mai Uchida, Yoichi Tomioka (UoA) PRMU2020-13
In order to prevent crimes such as illegal uploading and secret photography, a method to identify the camera that captur... [more] PRMU2020-13
pp.35-40
EMM 2019-03-13
14:05
Okinawa TBD [Poster Presentation] Digital watermarking method using CNN including a robust extractor neural network against rotation
Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ.) EMM2018-92
We propose a digital watermarking method using neural networks, which can learn robust embedding and extraction processe... [more] EMM2018-92
pp.7-12
EMM 2018-03-05
15:45
Kagoshima Naze Community Center (Amami-Shi, Kagoshima) [Poster Presentation] Analysis on History of JPEG Compression Considering the Characteristic of Quantization Table
Keitaro Oura, Minoru Kuribayashi, Nobuo Funabiki (Okayama Univ.) EMM2017-86
As we can find some clues from a given image about the history of JPEG compression, it is possible to classify the image... [more] EMM2017-86
pp.45-50
EMM 2017-11-06
16:00
Kagoshima Kagoshima Univ. (Inamori Academy) Digital watermarking method by encoder using neural network
Ippei Hamamoto, Masaki Kawamura (Yamaguchi Univ) EMM2017-58
We propose a digital watermarking method by encoder using a neural network.The learned neural network can perform as bot... [more] EMM2017-58
pp.17-22
SIS, IPSJ-AVM 2017-10-12
13:20
Nara Todaiji Culture Center A JPEG-Friendly Image Encryption Scheme
Ayana Kawamura, Tatsuya Chuman, Kenta Iida, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2017-22
Conventional secure image transmission systems are based on Compression-then-Encryption systems, where image encryption ... [more] SIS2017-22
pp.7-12
EMM 2017-03-06
14:30
Okinawa Miyakojima Marin Terminal Building (Okinawa) [Poster Presentation] Digital watermarking method using non-binary LDPC codes and its evaluation for JPEG compression
Toyohiko Saeki, Takayuki Nozaki, Masaki Kawamura (Yamaguchi Univ.) EMM2016-87
We propose digital watermarking methods using non-binary LDPC codes and evaluate their robustness against JPEG compressi... [more] EMM2016-87
pp.7-12
IT 2015-09-04
11:15
Ishikawa Hakusan Shobutei Performance Evaluations of a Digital Watermarking Scheme for Recovery of Erasures in JPEG Images
Mami Takei, Hiroki Koga (Tsukuba Univ.) IT2015-39
In this paper, we propose a digital watermarking scheme for recovery of erased regions in JPEG images using the LT code,... [more] IT2015-39
pp.31-36
SIS, IPSJ-AVM 2014-09-11
10:45
Yamagata SHONAI INDUSTRIAL PROMOTION CENTER A method of perceptual encryption and its efficient key management for JPEG/Motion JPEG images
Kenta Kurihara, Yuko Saito (Tokyo Metropolitan Univ.), Shoko Imaizumi (Chiba Univ.), Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ.) SIS2014-53
In this paper, we propose a method of perceptual encryption and its efficient key management for images presupposing JPE... [more] SIS2014-53
pp.13-18
EMM 2014-03-07
15:00
Ishikawa JAIST [Poster Presentation] Comparison of error correction capability between LDPC and Sourlas codes suitable for digital watermarking
Nobuhiro Hirata, Masaki Kawamura (Yamaguchi Univ.) EMM2013-101
We compare error correction capability between LDPC and Sourlas codes for image digital watermarking. In the case of emb... [more] EMM2013-101
pp.9-14
EMM, EA 2013-11-15
16:15
Hiroshima Prefectural University of Hiroshima, Satellite Campus Hiroshima DCT-OFDM Based Watermarking Scheme Robust againsut Clipping Attack
Masaki Hakka, Minoru Kuribayashi, Masakatu Morii (Kobe Univ.) EA2013-86 EMM2013-86
Robustness against various attacks involving lossy compression like JPEG and clipping is
inevitable requirements for d... [more]
EA2013-86 EMM2013-86
pp.107-112
ISEC, IT, WBS 2011-03-04
11:15
Osaka Osaka University Digital Watermark Method with Maximum Detection Amplitude Value of Complex Signature Impulse
Toshinori Ueda, Toshiyuki Uto, Kenji Ohue (Ehime Univ.) IT2010-122 ISEC2010-126 WBS2010-101
This paper proposes a digital watermark method with maximum detection amplitude value of complex signature impulse.
Si... [more]
IT2010-122 ISEC2010-126 WBS2010-101
pp.361-366
ITS, IE, ITE-ME, ITE-AIT, ITE-HI 2006-02-21
16:30
Hokkaido Hokkaido Univ. A Method of Digital Watermarking Based on Subband Decomposition and Discrete Cosine Transform
Noritaka Fujibayashi, Kenta Ida, Ryota Itani, Itsuo Sasaki (Osaka Pref.Univ.), Kazuhiro Aoki (Osaka Pref. Coll. of Tech.)
In the case of watermark embedding into the gray scale image, there is the method that embeds a watermark in the frequen... [more] ITS2005-105 IE2005-312
pp.143-148
 Results 1 - 18 of 18  /   
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