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Adversarial Multimedia Forensics

Overview of attention for book
Cover of 'Adversarial Multimedia Forensics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Model Poisoning Attack Against Federated Learning with Adaptive Aggregation
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    Chapter 2 Image Forgery Detection Using Comprint: A Comprehensive Study
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    Chapter 3 Good or Evil: Generative Adversarial Networks in Digital Forensics
  5. Altmetric Badge
    Chapter 4 Refined GAN-Based Attack Against Image Splicing Detection and Localization Algorithms
  6. Altmetric Badge
    Chapter 5 Generative Adversarial Networks for Artificial Satellite Image Creation and Manipulation
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    Chapter 6 Domain Specific Information Based Learning for Facial Image Forensics
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    Chapter 7 Linguistic Steganography and Linguistic Steganalysis
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    Chapter 8 Random Deep Feature Selection’s Efficiency in Securing Image Manipulation Detectors Opposed by Adversarial Attacks
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    Chapter 9 Optimized Distribution for Robust Watermarking of Deep Neural Networks Through Fixed Embedding Weights
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    Chapter 10 Anti Forensic Measures and Their Impact on Forensic Investigations
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    Chapter 11 Using Vocoder Artifacts For Audio Deepfakes Detection
Attention for Chapter 9: Optimized Distribution for Robust Watermarking of Deep Neural Networks Through Fixed Embedding Weights
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Chapter title
Optimized Distribution for Robust Watermarking of Deep Neural Networks Through Fixed Embedding Weights
Chapter number 9
Book title
Adversarial Multimedia Forensics
Published in
Advances in Information Security, January 2024
DOI 10.1007/978-3-031-49803-9_9
Book ISBNs
978-3-03-149802-2, 978-3-03-149803-9
Authors

Çevik, Melisa, Çakan, Ege Baran, Şentürk, Elin Su, Çakmak, Utku Anil, Abdulkareem, Marwa Issam

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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