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Table of Contents
1 Cover
6 Preface
7 1 How to Reconstruct the History of a Digital Image, and of Its Alterations 1.1. Introduction 1.2. Describing the image processing chain 1.3. Traces left on noise by image manipulation 1.4. Demosaicing and its traces 1.5. JPEG compression, its traces and the detection of its alterations 1.6. Internal similarities and manipulations 1.7. Direct detection of image manipulation 1.8. Conclusion 1.9. References
8 2 Deep Neural Network Attacks and Defense: The Case of Image Classification 2.1. Introduction 2.2. Adversarial images: definition 2.3. Attacks: making adversarial images 2.4. Defenses 2.5. Conclusion 2.6. References
9 3 Codes and Watermarks 3.1. Introduction 3.2. Study framework: robust watermarking 3.3. Index modulation 3.4. Error-correcting codes approach 3.5. Contradictory objectives of watermarking: the impact of codes 3.6. Latest developments in the use of correction codes for watermarking 3.7. Illustration of the influence of the type of code, according to the attacks 3.8. Using the rank metric 3.9. Conclusion 3.10. References
10 4 Invisibility 4.1. Introduction 4.2. Color watermarking: an approach history? 4.3. Quaternionic context for watermarking color images 4.4. Psychovisual approach to color watermarking 4.5. Conclusion 4.6. References
11 5 Steganography: Embedding Data Into Multimedia Content 5.1. Introduction and theoretical foundations 5.2. Fundamental principles 5.3. Digital image steganography: basic methods 5.4. Advanced principles in steganography 5.5. Conclusion 5.6. References
12 6 Traitor Tracing 6.1. Introduction 6.2. The original Tardos code 6.3. Tardos and his successors 6.4. Research of better score functions 6.5. How to find a better threshold 6.6. Conclusion 6.7. References
13 7 3D Watermarking 7.1. Introduction 7.2. Preliminaries 7.3. Synchronization 7.4. 3D data hiding 7.5. Presentation of a high-capacity data hiding method 7.6. Improvements 7.7. Experimental results 7.8. Trends in high-capacity 3D data hiding 7.9. Conclusion 7.10.
