
Ultimate Deepfake Detection Using Python
Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python (English Edition)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Ultimate Deepfake Detection Using Python
Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python (English Edition)
About this book
Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection.
Book DescriptionIn today's digital world, mastering deepfake detection is crucial, with deepfake content increasing by 900% since 2019 and 96% used for malicious purposes like fraud and disinformation. "Ultimate Deepfake Detection with Python" equips you with the skills to combat this threat using Python's AI libraries, offering practical tools to protect digital security across images, videos, and audio.
This book explores generative AI and deepfakes, giving readers a clear understanding of how these technologies work and the challenges of detecting them. With practical Python code examples, it provides the tools necessary for effective deepfake detection across media types like images, videos, and audio. Each chapter covers vital topics, from setting up Python environments to using key datasets and advanced deep learning techniques.
Perfect for researchers, developers, and cybersecurity professionals, this book enhances technical skills and deepens awareness of the ethical issues around deepfakes. Whether building new detection systems or improving current ones, this book offers expert strategies to stay ahead in digital media security.
Table of Contents1. Introduction to Generative AI and Deepfake Technology2. Deepfake Detection Principles and Challenges3. Ethical Considerations with the Use of Deepfakes4. Setting Up your Machine for Deepfake Detection using Python5. Deepfake Datasets6. Techniques for Deepfake Detection7. Detection of Deepfake Images8. Detection of Deepfake Video9. Detection of Deepfake Audio10. Case Study in Deepfake Detection Index
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- About the Author
- About the Technical Reviewer
- Acknowledgements
- Preface
- Errata
- Table of Contents
- 1. Introduction to Generative AI and Deepfake Technology
- 2. Deepfake Detection Principles and Challenges
- 3. Ethical Considerations with the Use of Deepfakes
- 4. Setting Up your Machine for Deepfake Detection using Python
- 5. Deepfake Datasets
- 6. Techniques for Deepfake Detection
- 7. Detection of Deepfake Images
- 8. Detection of Deepfake Video
- 9. Detection of Deepfake Audio
- 10. Case Study in Deepfake Detection
- Index