Exploring Deepfakes
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Exploring Deepfakes
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Author : Bryan Lyon
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-03-28
Exploring Deepfakes written by Bryan Lyon and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-28 with Computers categories.
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.
How Algorithms Create And Prevent Fake News
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Author : Noah Giansiracusa
language : en
Publisher:
Release Date : 2021
How Algorithms Create And Prevent Fake News written by Noah Giansiracusa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning--especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope. .
Deepfakes And Their Impact On Business
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Author : Gupta, Gaurav
language : en
Publisher: IGI Global
Release Date : 2024-12-05
Deepfakes And Their Impact On Business written by Gupta, Gaurav and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-05 with Business & Economics categories.
Deepfakes are becoming a growing concern for businesses across industries. These technologies manipulate public perceptions, damage reputations, and create security risks by making it increasingly difficult to distinguish between real and fabricated media. For businesses, the impact of deepfakes range from the potential for brand impersonation and misleading marketing campaigns to serious cybersecurity threats, including financial fraud and identity theft. As deepfake technology evolves, companies must navigate the complex ethical, legal, and operational challenges it presents, adopting strategies to protect their brands, safeguard sensitive information, and maintain trust with customers. The rise of deepfakes requires further research into how businesses approach digital media, authentication, and security. Deepfakes and Their Impact on Business demystifies the rise of deepfakes and explores their impact on various business sectors. It examines the potential risk and threats associated with deepfake technology, such as reputational damage, financial loss, and data manipulation. This book covers topics such as cybercrime, financial fraud, and impersonation, and is a useful resource for business owners, computer engineers, security professionals, data scientists, economists, academicians, and researchers.
Algorithms And Law
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Author : Martin Ebers
language : en
Publisher: Cambridge University Press
Release Date : 2020-07-23
Algorithms And Law written by Martin Ebers and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-23 with Computers categories.
Exploring issues from big-data to robotics, this volume is the first to comprehensively examine the regulatory implications of AI technology.
Examining Cybersecurity Risks Produced By Generative Ai
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Author : Almomani, Ammar
language : en
Publisher: IGI Global
Release Date : 2025-05-01
Examining Cybersecurity Risks Produced By Generative Ai written by Almomani, Ammar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Computers categories.
As generative artificial intelligence (AI) evolves, it introduces new opportunities across industries, from content creation to problem-solving. However, with these advancements come significant cybersecurity risks that demand closer scrutiny. Generative AI, capable of producing text, images, code, and deepfakes, presents challenges in cybersecurity. Malicious scammers could leverage these technologies to automate cyberattacks, create sophisticated phishing schemes, or bypass traditional security systems with efficiency. This intersection of cutting-edge AI and cybersecurity concerns requires new organizational safeguards for digital environments, highlighting the need for new protocols, regulations, and proactive defense mechanisms to mitigate potential threats. Examining Cybersecurity Risks Produced by Generative AI addresses the intersections of generative AI with cybersecurity, presenting its applications, potential risks, and security frameworks designed to harness its benefits while mitigating challenges. It provides a comprehensive, up-to-date resource on integrating generative models into cybersecurity practice and research. This book covers topics such as deepfakes, smart cities, and phishing attacks, and is a useful resource for computer engineers, security professionals, business owners, policymakers, academicians, researchers, and data scientists.
Ultimate Deepfake Detection Using Python
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Author : Dr. Nimrita Koul
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-09-21
Ultimate Deepfake Detection Using Python written by Dr. Nimrita Koul and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.
TAGLINE Deepfake Detection Unlocked: Python Approaches for Deepfake Images, Videos, Audio Detection. KEY FEATURES ● Comprehensive and graded approach to Deepfake detection using Python and its libraries. ● Practical implementation of deepfake detection techniques using Python. ● Hands-on chapters for detecting deepfake images, videos, and audio. ● Covers Case study for providing real-world application of deepfake detection. 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. WHAT WILL YOU LEARN ● Understand the fundamentals of generative AI and deepfake technology and the potential risks they pose. ● Explore the various methods and techniques used to identify deepfakes, as well as the obstacles faced in this field. ● Learn to use essential datasets and label image, video, and audio data for building deepfake detection models. ● Apply advanced machine learning models like CNNs, RNNs, GANs, and Transformers for deepfake detection. ● Master active and passive methods for detecting face manipulation and build CNN-based image detection systems. ● Detect manipulations in videos, develop a detection system, and evaluate its performance using key metrics. ● Build and implement a practical deepfake detection system to understand how these techniques are applied in real-world scenarios. WHO IS THIS BOOK FOR? This book is tailored for anyone interested in deepfake detection using Python. Whether you're a researcher, developer, or cybersecurity professional, this guide provides the essential knowledge and skills. A basic understanding of Python and machine learning is helpful, but no prior experience in deepfakes is required. 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
Computer Vision
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Author : Md Atiqur Rahman Ahad
language : en
Publisher: CRC Press
Release Date : 2024-07-30
Computer Vision written by Md Atiqur Rahman Ahad and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Exploring The Cybersecurity Landscape Through Cyber Forensics
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Author : Husain, Mohd Shahid
language : en
Publisher: IGI Global
Release Date : 2025-02-20
Exploring The Cybersecurity Landscape Through Cyber Forensics written by Husain, Mohd Shahid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
As digital technology becomes integral to all aspects of modern life, the ability to investigate and resolve cyber-related incidents through systematic and scientifically grounded methods has never been more essential. Cyber forensics is indispensable for investigating and addressing cyber incidents with scientific rigor and legal integrity. By adhering to core principles, employing systematic methodologies, and leveraging specialized tools, cyber forensic professionals play a key role in uncovering digital evidence and resolving cyber-related challenges. Despite ongoing challenges, the field remains vital for maintaining security and integrity in our increasingly digital world. Exploring the Cybersecurity Landscape Through Cyber Forensics delves into the intricacies of cyber forensics, offering insights and methodologies essential for uncovering and interpreting digital evidence in today’s technologically advanced landscape. It explores the latest trends and challenges in the field of cyber forensics, ensuring that readers gain a thorough understanding of the subject and are equipped with the state-of-the-art knowledge needed to navigate the evolving landscape of digital investigations. Covering topics such as AI ethics, cloud environment, and social media forensics, this book is an excellent resource for professionals, researchers, students, and more.
Exploring Generative Adversarial Networks And Meta Learning Synergies
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Author : Simaiya, Sarita
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Exploring Generative Adversarial Networks And Meta Learning Synergies written by Simaiya, Sarita and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
Generative Adversarial Networks (GANs) and Meta-Learning synergies can be combined and leveraged to enhance the capabilities of artificial intelligence (AI) systems, particularly in areas such as image generation, style transfer, few-shot learning, and domain adaptation. These techniques can be integrated to develop more robust and efficient AI models. Ultimately, understanding the theoretical foundations, implementation strategies, and practical applications of GANs and Meta-Learning can be used to address complex real-world challenges. Exploring Generative Adversarial Networks and Meta-Learning Synergies explores the intersection and synergy between two cutting-edge AI techniques: GANs and Meta-Learning. It showcases the potential of these synergies in advancing the field of AI and addressing complex real-world challenges. Covering topics such as neuromorphic computing, transfer learning, and visual speech recognition, this book is an excellent resource for computer scientists, entrepreneurs, healthcare professionals, professionals, researchers, scholars, academicians, and more.
Frontiers In Fake Media Generation And Detection
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Author : Mahdi Khosravy
language : en
Publisher: Springer Nature
Release Date : 2022-05-28
Frontiers In Fake Media Generation And Detection written by Mahdi Khosravy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-28 with Technology & Engineering categories.
The book presents recent advances in the generation and detection of fake multimedia. It also presents some frontiers in defensive techniques in front of skillfully cloned media. The ultimate purpose of the research direction presented by this book is to build up a trustworthy media network benefited by an iron dome in front of media clones’ attacks. The book focusses on (1) applications of deep generative models in the generation of fake multimedia, and (2) cyber-defensive and detective techniques in front of cyberattacks. The book is composed of three parts: (i) introduction, (ii) fake media generation, and (iii) fake media detection.