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A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.
Photographs of contemporary Veles are intertwined with fragments from an archaeological discovery also called 'the Book of Veles' -- a cryptic collection of 40 'ancient' wooden boards discovered in Russia in 1919, written in a proto-Slavic language. It was claimed to be a history of the Slavic people and the god Veles himself--the pre-Christian Slavic god of mischief, chaos and deception
The first comprehensive and detailed presentation of techniques for authenticating digital images. Photographs have been doctored since photography was invented. Dictators have erased people from photographs and from history. Politicians have manipulated photos for short-term political gain. Altering photographs in the predigital era required time-consuming darkroom work. Today, powerful and low-cost digital technology makes it relatively easy to alter digital images, and the resulting fakes are difficult to detect. The field of photo forensics—pioneered in Hany Farid's lab at Dartmouth College—restores some trust to photography. In this book, Farid describes techniques that can be used to authenticate photos. He provides the intuition and background as well as the mathematical and algorithmic details needed to understand, implement, and utilize a variety of photo forensic techniques. Farid traces the entire imaging pipeline. He begins with the physics and geometry of the interaction of light with the physical world, proceeds through the way light passes through a camera lens, the conversion of light to pixel values in the electronic sensor, the packaging of the pixel values into a digital image file, and the pixel-level artifacts introduced by photo-editing software. Modeling the path of light during image creation reveals physical, geometric, and statistical regularities that are disrupted during the creation of a fake. Various forensic techniques exploit these irregularities to detect traces of tampering. A chapter of case studies examines the authenticity of viral video and famously questionable photographs including “Golden Eagle Snatches Kid” and the Lee Harvey Oswald backyard photo.
Will the rare autographed baseball your great-uncle gave you put your children through college? Is your grandmother's chest of drawers really a seventeenth-century antique, or merely a reproduction? A leader in forgery detection and forensic investigation, Joe Nickell reveals his secrets to detecting artifacts items in Real or Fake: Studies in Authentication. Detailing how the pros determine whether an Abraham Lincoln signature is forged or if a photograph of Emily Dickinson is genuine, Nickell provides the essential tools necessary to identify counterfeits. In this general introduction to the principles of authentication, Nickell provides readers with step-by-step explanations of the science used to detect falsified documents, photographs, and other objects. Illustrating methods used on hit shows such as Antiques Roadshow and History Detectives, Nickell recommends that aspiring investigators employ a comprehensive approach to identifying imitations. One should consider the object's provenance (the origin or derivation of an artifact), content (clues in the scene or item depicted), and material composition (what artifacts are made of), as well as the results of scientific analyses, including radiographic, spectroscopic, microscopic, and microchemical tests. Including fascinating cases drawn from Nickell's illustrious career, Real or Fake combines historical and scientific investigations to reveal reproductions and genuine objects. Nickell explains the warning signs of forgery, such as patching and unnatural pen lifts; chronicles the evolution of writing instruments, inks, and papers; shows readers how to date photographs, papers, and other materials; and traces the development of photographic processes since the mid-nineteenth century. Lavishly illustrated with examples of replicas and authentic objects inspected by Nickell, Real or Fake includes case studies of alleged artifacts including Jack the Ripper's diary, a draft of the Gettysburg Address, notes by Charles Dickens, Jefferson Davis's musket, and debris from the Titanic.
Deep Fakes: Algorithms and Society focuses on the use of artificial intelligence technologies to produce fictitious photorealistic audiovisual clips that are indistinguishable from traditional video media. For over a century, the indexical relationship of the photographic image, and its related media of film and video, to the scene of capture has served as a basis for truth claims. Historically, the iconicity of these images has featured a causal traceback to actual light rays in a particular time and space, which were fixed by chemical reactions or digital sensors to the resultant image. Today, photorealistic audiovisual media can be generated from deep learning networks that sever any connection to an actual event. Should society instantiate new regimes to manage this new challenge to our sense of reality and the traditional evidential capacities of the ‘mechanical image’? How do these images generate information disorder while also providing the basis for legitimate tools used in entertainment and creative industries? Scholars and students from many backgrounds, as well as policymakers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by deep fake research from Communication, International Studies, Writing and Rhetoric.
How do you grow a spaghetti tree? Who saw fairies down by the creek? A fake is something that is not what it seems to be. Fakes are meant to trick people.
Describes the different ways con artists use fraud to get money, including stealing identities, copying paintings, and counterfeiting money, and how they are caught.
Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.
The best fakes and hoaxes have just enough truth to lure people into the deception. This comprehensive book showcases some infamous hoaxes as well as supposed-hoaxes that people won’t stop believing—Bigfoot, anyone? There’s so much to explore, from ancient lore of fairies and sea monsters to modern-day hoax baseball players and superhumans! Each high-interest subject is paired with imaginative images and colorful photographs. “Mysterious Facts” boxes list further points of proof. Readers will especially find a chapter on Internet hoaxes and digital forgeries applicable to their lives.
Choosing the right technologies to match student learning outcomes in today's technology-integrated classrooms presents educators and instructional designers with multiple curricula and instructional design challenges including selecting appropriate technologies to match desired student learning outcomes. As students continue to have broad access to information from a variety of web-based platforms, educators and educational professionals are increasingly tasked with ensuring the information used to complete key assignments or tasks is authentic and from a verifiable resource. As such, the era of deep fakes in images, audios, videos, and digital texts is more prevalent than ever as numerous programs using artificial intelligence (AI) can significantly alter original content to fundamentally change the intent of original content. Moreover, students are being bombarded by a plethora of information that is either intentionally or mistakenly false and must be navigated with care. Accordingly, educators and educational professionals are now tasked with employing best practices to not only teach basic digital literacy and citizenship skills but also to recognize how technology-immersed learning environments interact with deep fakes and misinformation while equipping students with the tools necessary to recognize authentic and altered content. Deep Fakes, Fake News, and Misinformation in Online Teaching and Learning Technologies is a critical reference source that addresses rising concerns of students’ ability to navigate the multitude of false and altered information and content that is easily accessible through online platforms. The chapters go into deeper detail about how deep fakes, fake news, and mis- and dis-information have the potential of negatively affecting the fields of teaching and learning and the importance of student access to content-related tasks from legitimate, vetted resources that accurately reflect the desired information the student means to convey. The book seeks to reinforce the importance of digital literacy and digital citizenship among adolescents. This book is essential for teaching faculty, higher education faculty, higher education administrators, educational software developers, security specialists, information specialists, media specialists, librarians, educational researchers, and students looking for information on how deep fakes and fake news are being navigated within the context of online teaching and educational technologies.