Ultimate Deepfake Detection Using Python: Master Deep Learning Techniques like CNNs, GANs, and Transformers to Detect Deepfakes in Images, Audio, and Videos Using Python

Book Description

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 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
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