Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes, Lanham Micheal
Автор: Warr Katy Название: Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery ISBN: 1492044954 ISBN-13(EAN): 9781492044956 Издательство: Wiley Рейтинг: Цена: 59130.00 T Наличие на складе: Невозможна поставка. Описание: This practical book examines real-world scenarios where DNNs-the algorithms intrinsic to much of AI-are used daily to process image, audio, and video data. Author Katy Warr considers attack motivations, the risks posed by this adversarial input, and methods for increasing AI robustness to these attacks.
Автор: Valle Rafael Название: Hands-On Generative Adversarial Networks with Keras ISBN: 1789538203 ISBN-13(EAN): 9781789538205 Издательство: Неизвестно Рейтинг: Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will explore deep learning and generative models, and their applications in artificial intelligence. You will learn to evaluate and improve your GAN models by eliminating challenges that are encountered in real-world applications. You will implement GAN architectures in various domains such as computer vision, NLP, and audio processing
Автор: Young Nobert Название: DeepFake Technology: Complete Guide to Deepfakes, Politics and Social Media ISBN: 107849469X ISBN-13(EAN): 9781078494694 Издательство: Неизвестно Цена: 14890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book tells of what would be the future of fake news using Deepfakes - a very powerful wave of technologies that would be employed to control and manipulate disinformation as well as disrupt the political process for the 2020 election. With all the laws and bans on circulation of fake news, the problem with online disinformation is nowhere getting better. The role of social media in the upcoming 2020 presidential election as well as other major political events in the world cannot be undermined. With the increase and upgrade in technologies, we will soon be piloting technologies like machine learning, human-like automated voice systems, interactive memes, deepfake artificial intelligence videos, and images, as well as augmented and virtual reality. Celebrities and political figures overtime have been the target of Deepfake videos and these videos have been created purposely to cause misinformation and distortion of facts and truth. Deepfake is a technology that uses Artificial Intelligence to produce or edit contents of a video or an image to show something that never happened. This book would teach you all you need to know about Deep Fakes starting from its discovery to the several bans on Deep Fake apps as well as the threat of Deepfakes both in politics and the society at large.From this well-loaded book, you will get: -Introduction to Deep Learning revolution and artificial intelligence. -Step by step guide on how to deepfake as well as processes involved in deepfaking. -Deep fakes apps like FakeApps, Githubs as well as how to install and use them.-How to identify fake videos and images. -Impact of DeepFake on politics, social media and society as a whole. -Legal Landscape for Deepfake-Real examples of the application of DeepFake.-And lots more Prepare yourself for what is ahead by getting a copy of this book now.
Автор: Mao Xudong, Li Qing Название: Generative Adversarial Networks for Image Generation ISBN: 981336047X ISBN-13(EAN): 9789813360471 Издательство: Springer Цена: 139750.00 T Наличие на складе: Поставка под заказ. Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Автор: Kalin Josh Название: Generative Adversarial Networks Cookbook ISBN: 1789139902 ISBN-13(EAN): 9781789139907 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Generative Adversarial Networks have opened up many new possibilities in the machine learning domain. This book is all you need to implement different types of GANs using TensorFlow and Keras, in order to provide optimized and efficient deep learning solutions.
Автор: Solanki, Arun Название: Generative Adversarial Networks For Image-To-Image Translation ISBN: 0128235195 ISBN-13(EAN): 9780128235195 Издательство: Elsevier Science Рейтинг: Цена: 149340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Generative Adversarial Networks (GAN) have started a revolution in Deep Learning, and today GAN is one of the most researched topics in Artificial Intelligence. Generative Adversarial Networks for Image-to-Image Translation provides a comprehensive overview of the GAN (Generative Adversarial Network) concept starting from the original GAN network to various GAN-based systems such as Deep Convolutional GANs (DCGANs), Conditional GANs (cGANs), StackGAN, Wasserstein GANs (WGAN), cyclical GANs, and many more. The book also provides readers with detailed real-world applications and common projects built using the GAN system with respective Python code. A typical GAN system consists of two neural networks, i.e., generator and discriminator. Both of these networks contest with each other, similar to game theory. The generator is responsible for generating quality images that should resemble ground truth, and the discriminator is accountable for identifying whether the generated image is a real image or a fake image generated by the generator. Being one of the unsupervised learning-based architectures, GAN is a preferred method in cases where labeled data is not available. GAN can generate high-quality images, images of human faces developed from several sketches, convert images from one domain to another, enhance images, combine an image with the style of another image, change the appearance of a human face image to show the effects in the progression of aging, generate images from text, and many more applications. GAN is helpful in generating output very close to the output generated by humans in a fraction of second, and it can efficiently produce high-quality music, speech, and images.
Автор: Hany John, Walters Greg Название: Hands-On Generative Adversarial Networks with PyTorch 1.x ISBN: 1789530512 ISBN-13(EAN): 9781789530513 Издательство: Неизвестно Рейтинг: Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
Автор: Ahirwar Kailash Название: Generative Adversarial Networks Projects ISBN: 1789136679 ISBN-13(EAN): 9781789136678 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
In this first non-technical introduction to emerging AI techniques, artist Casey Reas explores what it's like to make pictures with generative adversarial networks (GANs), specifically deep convolutional generative adversarial networks (DCGANs).
This text is imagined as a primer for readers interested in creative applications of AI technologies. Ideally, readers will explore the strategies of this emerging field as outlined, and remix them to suit their desires. We hope to inspire future research and collaboration, and to encourage a rigorous discussion about art in the age of machine intelligence.
The U.S. government has essentially two choices when dealing with adversarial states: isolate them or engage them. Isolate or Engage systematically examines the challenges to and opportunities for U.S. diplomatic relations with nine intensely adversarial states--China, Cuba, Iran, Libya, North Korea, U.S.S.R./Russia, Syria, Venezuela, and Vietnam: states where the situation is short of conventional war and where the U.S. maintains limited or no formal diplomatic relations with the government.
In such circumstances, "public diplomacy"--the means by which the U.S. engages with citizens in other countries so they will push their own governments to adopt less hostile and more favorable views of U.S. foreign policies--becomes extremely important for shaping the context within which the adversarial government makes important decisions affecting U.S. national security interests. At a time when the norm of not talking to the enemy is a matter of public debate, the book examines the role of both traditional and public diplomacy with adversarial states and reviews the costs and benefits of U.S. diplomatic engagement with the publics of these countries. It concludes that while public diplomacy is not a panacea for easing conflict in interstate relations, it is one of many productive channels that a government can use in order to stay informed about the status of its relations with an adversarial state, and to seek to improve those relations.
Автор: Borges Dan Название: Adversarial Tradecraft in Cybersecurity: Offense versus defense in real-time computer conflict ISBN: 1801076200 ISBN-13(EAN): 9781801076203 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book takes you through some of the complex strategic decisions of offensive and defensive teams. This text will prepare you for real-time cybersecurity conflict and show you some of the best techniques currently in the industry. It will prepare both offensive and defensive teams for the daunting task of real-time cyber defense and offense.
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