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Digital Forensics and Watermarking : 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings

Author: Chang D Yoo; Yun-Qing Shi; Hyoung Joong Kim; Alessandro Piva; Gwangsu Kim
Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019.
Series: LNCS sublibrary., SL 4,, Security and cryptology ;, 11378.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book constitutes the refereed proceedings of the 17th International Workshop on Digital Forensics and Watermarking, IWDW 2018, held on Jeju Island, Korea, in October 2018. The 25 papers presented in this volume were carefully reviewed and selected from 43 submissions. The contributions are covering the following topics: deep neural networks for digital forensics; steganalysis and identification; watermarking;  Read more...
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Details

Additional Physical Format: Printed edition:
Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Chang D Yoo; Yun-Qing Shi; Hyoung Joong Kim; Alessandro Piva; Gwangsu Kim
ISBN: 9783030113896 3030113892 9783030113889 3030113884 9783030113902 3030113906
OCLC Number: 1091301639
Description: 1 online resource (XI, 392 p. 167 illus., 101 illus. in color. :) online resource.
Contents: Deep Neural Networks for Digital Forensics --
Steganalysis and Identification --
Watermarking --
Reversible Data Hiding --
Steganographic Algorithms --
Identification and Security --
Deep Generative Models for Forgery and Its Detection.
Series Title: LNCS sublibrary., SL 4,, Security and cryptology ;, 11378.
Responsibility: edited by Chang D. Yoo, Yun-Qing Shi, Hyoung Joong Kim, Alessandro Piva, Gwangsu Kim.

Abstract:

This book constitutes the refereed proceedings of the 17th International Workshop on Digital Forensics and Watermarking, IWDW 2018, held on Jeju Island, Korea, in October 2018. The 25 papers presented in this volume were carefully reviewed and selected from 43 submissions. The contributions are covering the following topics: deep neural networks for digital forensics; steganalysis and identification; watermarking; reversible data hiding; steganographic algorithms; identification and security; deep generative models for forgery and its detection. .

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