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IWDW 2021 : The 20th International Workshop on Digital-forensics and Watermarking

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Conference Series : International Workshop on Digital Watermarking
 
Link: http://www.iwdw.site
 
When Nov 20, 2021 - Nov 22, 2021
Where Beijing, China
Submission Deadline Oct 6, 2021
Notification Due Nov 5, 2021
Final Version Due Nov 14, 2021
 

Call For Papers

In the last two decades, the International Workshops on Digital-forensics and Watermarking (IWDW) have been established as a premier forum for researchers and practitioners working on novel researches, developments and applications of multimedia security. Following this tradition, the IWDW 2021 is aimed at providing a technical program covering the state-of-the-art theoretical and practical developments in the field of digital watermarking, steganography and steganalysis, fake media forensics and anti-forensics, and other multimedia-related security issues.

IWDW 2021 is held and sponsored by State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences.

Due to the ongoing global COVID-19 pandemic, IWDW 2021 is going to be held as a hybrid conference. That is, attendees from the Chinese mainland are requested to attend the conference in person, and the ones from other countries/regions who are unable to make a physical presence at the conference can attend it virtually.

The topics of interest include but are not limited to:
*Authentication, copyright protection, DRM, and forensics watermarking
*Channel coding techniques for watermarking
*Convolutional neural networks (CNN) and deep learning for multimedia security
*Combination of data hiding and cryptography
*Fake multimedia forensics and anti-forensics
*AI generated multimedia and detection of them
*Information theoretic, stochastic and capacity aspects of data hiding
*Large-scale experimental tests and benchmarking
*Deepfake videos and detection of them
*Statistical and perceptual models of multimedia content for multimedia security
*Reversible data hiding
*Robust perceptual hashing
*Security issues in multimedia protection, including attacks and counter-attacks
*Steganography and steganalysis (Steganology)
*Theoretical steganology
*Media source forensics and identification

Each submitted paper will be reviewed by at least 2 reviewers. There will be two prizes: one for the best paper and the other for the best student paper. The proceedings of IWDW 2021 will be published on the Lecture Notes in Computer Science (LNCS) by Springer.

Paper Submission
Submitted manuscripts must not substantially overlap with the ones that have been published or are simultaneously under review by other journals or conferences. Submissions should be properly anonymized for double blinded review. Therefore, author names and their affiliations should be removed and language be adjusted to prevent easy identification.

The submissions must be clearly presented in English, and made as a PDF file of no more than 15 pages. The templates are available at http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. For more details and submission guidelines, please visit www.iwdw.site.

The conference papers will be selected based on reviewer’s feedback, including the originality, significance, relevance, clarity of presentation, correctness, etc. Should the paper be accepted, at least one of the authors need register and attend the conference to present the work.

Important Dates
Paper submission deadline: 6 October 2021
Notification of acceptance: 5 November 2021
Submission of camera-ready versions: 14 November 2021

General Chairs
Yun-Qing Shi, New Jersey Institute of Technology, USA
Hyoung Joong Kim, Korea University, Korea

Technical Program Chairs
Xianfeng Zhao, Chinese Academy of Sciences, China
Alessandro Piva, University of Florence, Italy
Pedro Comesaña-Alfaro, University of Vigo, Spain

Organizing Chairs
Hong Zhang, Chinese Academy of Sciences, China
Xiaolei He, Chinese Academy of Sciences, China

Contacts
Paper submission: Dr. Hong Zhang, zhanghong@iie.ac.cn
Local arrangement: Yanfei Tong, tongyanfei@iie.ac.cn

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