DeepFakes
eBook - ePub

DeepFakes

Creation, Detection, and Impact

  1. 148 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

DeepFakes

Creation, Detection, and Impact

About this book

Deepfakes is a synthetic media that leverage powerful Artificial Intelligence (AI) and machine learning (ML) techniques to generate fake visual and audio content that are extremely realistic, thus making it very hard for a human to distinguish from the original ones. Apart from technological introduction to the Deepfakes concept, the book details algorithms to detect Deepfakes, techniques for identifying manipulated content and identifying face swap, generative adversarial neural networks, media forensic techniques, deep learning architectures, forensic analysis of DeepFakes and so forth.

  • Provides a technical introduction to DeepFakes, its benefits, and the potential harms
  • Presents practical approaches of creation and detection of DeepFakes using Deep Learning (DL) Techniques
  • Draws attention towards various challenging issues and societal impact of DeepFakes with their existing solutions
  • Includes research analysis in the domain of DL fakes for assisting the creation and detection of DeepFakes applications
  • Discusses future research directions with emergence of DeepFakes technology

This book is aimed at graduate students, researchers and professionals in data science, artificial intelligence, computer vision, and machine learning.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • 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.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access DeepFakes by Loveleen Gaur in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Acknowledgments
  9. Editor Biography
  10. Contributors
  11. 1 Introduction to DeepFake Technologies
  12. 2 DeepFakes: A Systematic Review and Bibliometric Analysis
  13. 3 Deep Learning Techniques for Creation of DeepFakes
  14. 4 Analyzing DeepFakes Videos by Face Warping Artifacts
  15. 5 Development of Image Translating Model to Counter Adversarial Attacks
  16. 6 Detection of DeepFakes Using Local Features and Convolutional Neural Network
  17. 7 DeepFakes: Positive Cases
  18. 8 Threats and Challenges by DeepFake Technology
  19. 9 DeepFakes, Media, and Societal Impacts
  20. 10 Fake News Detection Using Machine Learning
  21. 11 Future of DeepFakes and Ectypes
  22. Index