Exploring Deepfakes

Exploring Deepfakes

Master the innovative world of deepfakes and generative AI for face replacement with this full-color guide Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesUnderstand what deepfakes are, their history, and how to use the technology ethicallyGet well-versed with the workflow and processes involved to create your own deepfakesLearn how to apply the lessons and techniques of deepfakes to your own problemsBook Description Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You'll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We'll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We'll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you'll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs. What you will learnGain a clear understanding of deepfakes and their creationUnderstand the risks of deepfakes and how to mitigate themCollect efficient data to create successful deepfakesGet familiar with the deepfakes workflow and its stepsExplore the application of deepfakes methods to your own generative needsImprove results by augmenting data and avoiding overtrainingExamine the future of deepfakes and other generative AIsUse generative AIs to increase video content resolutionWho this book is for This book is for AI developers, data scientists, and anyone looking to learn more about deepfakes or techniques and technologies from Deepfakes to help them generate new image data. Working knowledge of Python programming language and basic familiarity with OpenCV, Pillow, Pytorch, or Tensorflow is recommended to get the most out of the book.

ICCWS 2020 15th International Conference on Cyber Warfare and Security

Black Communication in the Age of Disinformation

This book explores the consequences of the changing landscape of media communication on Black interactions in the virtual space. Current developments in technology, such as facial recognition, have already disproportionately affected people of color, especially people of African descent. The rise of DeepFakes and other forms of Fake News online has brought a host of new impacts and potential obstacles to the way that Black communities communicate. With a focus on the emergence of DeepFakes, and AI Synthetic Media, contributors have explored a range of themes and topics, including but not limited to: How do AI and digital algorithms impact people of color? How does Social Media shape Black women's perception of their body? How vulnerable are young Africans to social media generated fake news? Contributions have examined how Black virtual, in person and digital communication is affected by the current onslaught of misinformation, manipulated images and videos, and changing social media landscape.