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Digital Forensics and Watermarking

17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings

  • Chang D. Yoo
  • Yun-Qing Shi
  • Hyoung Joong Kim
  • Alessandro Piva
  • Gwangsu Kim
Conference proceedings IWDW 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11378)

Also part of the Security and Cryptology book sub series (LNSC, volume 11378)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Deep Neural Networks for Digital Forensics

    1. Front Matter
      Pages 1-1
    2. Qian Zhang, Xianfeng Zhao, Changjun Liu
      Pages 14-28
    3. Huilin Zheng, Xuan Li, Danyang Ruan, Xiangui Kang, Yun-Qing Shi
      Pages 29-39
    4. Shiyang Zhang, Hong Zhang, Xianfeng Zhao, Haibo Yu
      Pages 40-52
  3. Steganalysis and Identification

    1. Front Matter
      Pages 53-53
    2. Kuan Yang, Kejiang Chen, Weiming Zhang, Nenghai Yu
      Pages 55-68
    3. Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Wenjie Li
      Pages 83-92
  4. Watermarking

    1. Front Matter
      Pages 93-93
    2. Jihyeon Kang, Sang-Keun Ji, Heung-Kyu Lee
      Pages 95-109
    3. Hannes Mareen, Johan De Praeter, Glenn Van Wallendael, Peter Lambert
      Pages 110-123
    4. Yiming Xue, Kai Mu, Yan Li, Juan Wen, Ping Zhong, Shaozhang Niu
      Pages 124-136
    5. Nicolò Cardamone, Fabrizio d’Amore
      Pages 137-150
    6. David Niyitegeka, Gouenou Coatrieux, Reda Bellafqira, Emmanuelle Genin, Javier Franco-Contreras
      Pages 151-166
  5. Reversible Data Hiding

  6. Steganographic Algorithms

    1. Front Matter
      Pages 231-231
    2. Xinzhi Yu, Kejiang Chen, Weiming Zhang, Yaofei Wang, Nenghai Yu
      Pages 248-260
    3. Shijun Zhou, Weixuan Tang, Shunquan Tan, Bin Li
      Pages 261-274
    4. Chen Gong, Xiaowei Yi, Xianfeng Zhao
      Pages 275-289
    5. Théo Taburet, Louis Filstroff, Patrick Bas, Wadih Sawaya
      Pages 290-303
  7. Identification and Security

    1. Front Matter
      Pages 305-305
    2. Yuankun Huang, Shunquan Tan, Bin Li, Jiwu Huang
      Pages 307-321
    3. Reda Bellafqira, Gouenou Coatrieux, Emmanuelle Genin, Michel Cozic
      Pages 322-336
  8. Special Session: Deep Generative Models for Forgery and Its Det

    1. Front Matter
      Pages 351-351
    2. Hakil Kim, Xuenan Cui, Man-Gyu Kim, Thi Hai Binh Nguyen
      Pages 353-362
    3. Hyoungwoo Park, Minjeong Ju, Sangkeun Moon, Chang D. Yoo
      Pages 363-372
    4. Muhammad Usama, Dong Eui Chang
      Pages 373-389
  9. Back Matter
    Pages 391-392

About these proceedings

Introduction

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. 

Keywords

cryptography digital forensics watermarking steganalysis steganography security service data hiding deep neural networks data security image processing image quality digital watermarking image compression jpeg information hiding neural networks reversible data hiding embedding capacity

Editors and affiliations

  1. 1.Korea Advanced Institute of Science and TechnologyDaejeonKorea (Republic of)
  2. 2.New Jersey Institute of TechnologyNewarkUSA
  3. 3.Korea UniversitySeoulKorea (Republic of)
  4. 4.University of FlorenceFlorenceItaly
  5. 5.Korea Advanced Institute of Science and TechnologyDaejeonKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-11389-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-11388-9
  • Online ISBN 978-3-030-11389-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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