Part 1: Introduction -- Chapter 1. Deepfakes and Society: What lies ahead? -- Chapter 2. Adversarial Examples and Defenses -- Part 2: Fake Media Generation -- Chapter 3. Adversarial Attacks -- Chapter 4. Robust Deepfake On Unrestricted Media: Generation And Detection -- Chapter 5. Spoofing Tweet Generator considering Points of Interest of Target User -- Part 3: Fake Media Detection -- Chapter 6. Defense Against Adversarial Attacks -- Chapter 7. Adversarial Defense with Secret Key -- Chapter 8. A Practical Guide to Logical Access Voice Presentation Attack Detection -- Chapter 9. Cross-Domain Fake News Detection on Social Media: A Context-Aware Adversarial Approach -- Part 4: Further Topics and Trends -- Chapter 10. Recognizer Cloning Attack on Image Recognition Services and Its Defending Method -- Chapter 11. Dynamic deception using social media.

The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones' attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.