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  • Book
  • Open Access
  • © 2022

Handbook of Digital Face Manipulation and Detection

From DeepFakes to Morphing Attacks

  • Is the first comprehensive book on digital face manipulation detection

  • Combines for the first time both biometrics and media forensics fields

  • Includes the point of view of both academic institutions and industry

  • Is an open access book

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

Buying options

Softcover Book USD 49.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (21 chapters)

  1. Front Matter

    Pages i-ix
  2. Introduction

    1. Front Matter

      Pages 1-1
    2. An Introduction to Digital Face Manipulation

      • Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia
      Pages 3-26Open Access
    3. Digital Face Manipulation in Biometric Systems

      • Mathias Ibsen, Christian Rathgeb, Daniel Fischer, Pawel Drozdowski, Christoph Busch
      Pages 27-43Open Access
    4. Multimedia Forensics Before the Deep Learning Era

      • Davide Cozzolino, Luisa Verdoliva
      Pages 45-67Open Access
  3. Digital Face Manipulation and Security Implications

    1. Front Matter

      Pages 69-69
    2. Toward the Creation and Obstruction of DeepFakes

      • Yuezun Li, Pu Sun, Honggang Qi, Siwei Lyu
      Pages 71-96Open Access
    3. The Threat of Deepfakes to Computer and Human Visions

      • Pavel Korshunov, Sébastien Marcel
      Pages 97-115Open Access
    4. Morph Creation and Vulnerability of Face Recognition Systems to Morphing

      • Matteo Ferrara, Annalisa Franco
      Pages 117-137Open Access
    5. Adversarial Attacks on Face Recognition Systems

      • Ying Xu, Kiran Raja, Raghavendra Ramachandra, Christoph Busch
      Pages 139-161Open Access
    6. Talking Faces: Audio-to-Video Face Generation

      • Yuxin Wang, Linsen Song, Wayne Wu, Chen Qian, Ran He, Chen Change Loy
      Pages 163-188Open Access
  4. Digital Face Manipulation Detection

    1. Front Matter

      Pages 189-189
    2. Detection of AI-Generated Synthetic Faces

      • Diego Gragnaniello, Francesco Marra, Luisa Verdoliva
      Pages 191-212Open Access
    3. 3D CNN Architectures and Attention Mechanisms for Deepfake Detection

      • Ritaban Roy, Indu Joshi, Abhijit Das, Antitza Dantcheva
      Pages 213-234Open Access
    4. Deepfake Detection Using Multiple Data Modalities

      • Hanxiang Hao, Emily R. Bartusiak, David Güera, Daniel Mas Montserrat, Sriram Baireddy, Ziyue Xiang et al.
      Pages 235-254Open Access
    5. DeepFakes Detection Based on Heart Rate Estimation: Single- and Multi-frame

      • Javier Hernandez-Ortega, Ruben Tolosana, Julian Fierrez, Aythami Morales
      Pages 255-273Open Access
    6. Capsule-Forensics Networks for Deepfake Detection

      • Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
      Pages 275-301Open Access
    7. DeepFakes Detection: the DeeperForensics Dataset and Challenge

      • Liming Jiang, Wayne Wu, Chen Qian, Chen Change Loy
      Pages 303-329Open Access
    8. Face Morphing Attack Detection Methods

      • Ulrich Scherhag, Christian Rathgeb, Christoph Busch
      Pages 331-349Open Access
    9. Practical Evaluation of Face Morphing Attack Detection Methods

      • Luuk Spreeuwers, Maikel Schils, Raymond Veldhuis, Una Kelly
      Pages 351-365Open Access

About this book

This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.


  • DeepFakes
  • Face Manipulation Detection
  • Media Forensic
  • Biometric Recognition
  • Image Processing and Pattern Recognition
  • Open Access

Editors and Affiliations

  • Department of Computer Science, Hochschule Darmstadt, Darmstadt, Germany

    Christian Rathgeb

  • School of Engineering, Universidad Autonoma de Madrid, Madrid, Spain

    Ruben Tolosana, Ruben Vera-Rodriguez

  • Department of Information Security and Communication Technology, Norwegian University of Science and Technology, Gjøvik, Norway

    Christoph Busch

Bibliographic Information

Buying options

Softcover Book USD 49.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)