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Digital Forensics and Watermarking

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Chang D. Yoo

    1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

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  2. Yun-Qing Shi

    1. New Jersey Institute of Technology, Newark, USA

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  3. Hyoung Joong Kim

    1. Korea University, Seoul, Korea (Republic of)

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  4. Alessandro Piva

    1. University of Florence, Florence, Italy

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  5. Gwangsu Kim

    1. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

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

Part of the book sub series: Security and Cryptology (LNSC)

Included in the following conference series:

Conference proceedings info: IWDW 2018.

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Table of contents (28 papers)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. A Convolutional Neural Network Based Seam Carving Detection Scheme for Uncompressed Digital Images

      • Jingyu Ye, Yuxi Shi, Guanshuo Xu, Yun-Qing Shi
      Pages 3-13

    3. Convolutional Neural Network for Larger JPEG Images Steganalysis

      • Qian Zhang, Xianfeng Zhao, Changjun Liu
      Pages 14-28

    4. Comparison of DCT and Gabor Filters in Residual Extraction of CNN Based JPEG Steganalysis

      • Huilin Zheng, Xuan Li, Danyang Ruan, Xiangui Kang, Yun-Qing Shi
      Pages 29-39

    5. A Deep Residual Multi-scale Convolutional Network for Spatial Steganalysis

      • Shiyang Zhang, Hong Zhang, Xianfeng Zhao, Haibo Yu
      Pages 40-52

  3. Steganalysis and Identification

    1. Front Matter

      Pages 53-53
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    2. Provably Secure Generative Steganography Based on Autoregressive Model

      • Kuan Yang, Kejiang Chen, Weiming Zhang, Nenghai Yu
      Pages 55-68

    3. A Novel Steganalysis of Steghide Focused on High-Frequency Region of Audio Waveform

      • Akira Nishimura
      Pages 69-82

    4. Cycle GAN-Based Attack on Recaptured Images to Fool both Human and Machine

      • Wei Zhao, Pengpeng Yang, Rongrong Ni, Yao Zhao, Wenjie Li
      Pages 83-92

  4. Watermarking

    1. Front Matter

      Pages 93-93
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    2. Spherical Panorama Image Watermarking Using Viewpoint Detection

      • Jihyeon Kang, Sang-Keun Ji, Heung-Kyu Lee
      Pages 95-109

    3. Traitor Tracing After Visible Watermark Removal

      • Hannes Mareen, Johan De Praeter, Glenn Van Wallendael, Peter Lambert
      Pages 110-123

    4. Improved High Capacity Spread Spectrum-Based Audio Watermarking by Hadamard Matrices

      • Yiming Xue, Kai Mu, Yan Li, Juan Wen, Ping Zhong, Shaozhang Niu
      Pages 124-136

    5. DWT and QR Code Based Watermarking for Document DRM

      • Nicolò Cardamone, Fabrizio d’Amore
      Pages 137-150

    6. Dynamic Watermarking-Based Integrity Protection of Homomorphically Encrypted Databases – Application to Outsourced Genetic Data

      • David Niyitegeka, Gouenou Coatrieux, Reda Bellafqira, Emmanuelle Genin, Javier Franco-Contreras
      Pages 151-166

  5. Reversible Data Hiding

    1. Front Matter

      Pages 167-167
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    2. Pixel-Value-Ordering Based Reversible Data Hiding with Adaptive Texture Classification and Modification

      • Bo Ou, Xiaolong Li, Wei Li, Yun-Qing Shi
      Pages 169-179

    3. Reversible Data Hiding in Encrypted Images Based on Image Partition and Spatial Correlation

      • Chang Song, Yifeng Zhang, Guojun Lu
      Pages 180-194

    4. A Multiple Linear Regression Based High-Accuracy Error Prediction Algorithm for Reversible Data Hiding

      • Bin Ma, Xiaoyu Wang, Bing Li, Yun-Qing Shi
      Pages 195-205
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  1. Digital Forensics and Watermarking

Keywords

About this book

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. 

Editors and Affiliations

  • Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Chang D. Yoo, Gwangsu Kim

  • New Jersey Institute of Technology, Newark, USA

    Yun-Qing Shi

  • Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  • University of Florence, Florence, Italy

    Alessandro Piva

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