Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection.
Book Description
In 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 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... See more
Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection.
Book Description
In 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 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
