Author: Edward Franklin
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author: Rob Botwright
Publisher: Rob Botwright
ISBN: 1839386401
Category : Computers
Languages : en
Pages : 297

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Book Description
Introducing "Deepfake Unmasked: The Era of Big Data, Machine Learning, and Artificial Duplicity" – A Mind-Opening Journey into the World of Deepfakes 📚 Get ready for a captivating exploration of one of the most compelling and controversial subjects of our time with our book bundle, "Deepfake Unmasked." Dive deep into the world of deepfake technology, where reality and artificiality merge to shape our future. 🌐 In an age dominated by data and fueled by machine learning, deepfakes have emerged as both a technological marvel and a cause for concern. This comprehensive bundle comprises four thought-provoking volumes, each offering unique insights into the deepfake phenomenon: 📘 Book 1 - Deepfake Dystopia: Unmasking the Dark Side of Artificial Duplicity in the Age of Big Data · Discover the sinister potential of deepfakes in manipulating reality, privacy breaches, and threats to security. · Explore the dystopian landscape where technology meets deception. 📘 Book 2 - Deceptive Realities: Exploring the Technological Marvel of Deepfakes Amidst the Big Data Revolution · Delve into the astonishing capabilities of machine learning and artificial intelligence that empower deepfakes. · Navigate the ethical tightrope walk between reality and fabrication. 📘 Book 3 - The Ethical Labyrinth of Deepfakes: Navigating Machine Learning, Big Data, and Artificial Duplicity · Confront the moral dilemmas surrounding deepfakes, including questions of consent, transparency, and accountability. · Establish ethical frameworks for responsible deepfake creation and usage. 📘 Book 4 - Deepfake and Society: Charting the Impact of Artificial Duplicity in the Landscape of Big Data and Machine Learning · Explore how deepfakes have infiltrated politics, media, and personal relationships. · Gain a comprehensive understanding of our society's evolving landscape in the wake of this transformative technology. 🧐 What Makes "Deepfake Unmasked" a Must-Have Bundle? · Comprehensive Insights: Gain a 360-degree understanding of deepfakes from the dark side to ethical considerations and societal impacts. · Expert Perspectives: Our books are authored by industry experts and thought leaders in the field of AI, machine learning, and data ethics. · Timely and Relevant: Stay informed about the rapidly evolving landscape of technology and its implications on our lives. · Ethical Frameworks: Learn how to navigate the ethical complexities of deepfake technology responsibly. 📈 As deepfake technology continues to shape our world, "Deepfake Unmasked" equips you with the knowledge and insights needed to engage with this transformative phenomenon critically. 💡 Don't miss your chance to uncover the truth behind deepfakes and explore the ethical, social, and technological dimensions of this groundbreaking technology. Purchase "Deepfake Unmasked" now and embark on a mind-opening journey into the era of big data, machine learning, and artificial duplicity.

Author: Edward Franklin
Publisher:
ISBN: 9781778901072
Category :
Languages : en
Pages : 0

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Book Description
This book examines the historical origins, technology, threats, and societal impact of deepfakes, to navigate a world where reality blurs with fiction.

Author: Raj, Alex Noel Joseph
Publisher: IGI Global
ISBN: 1668445603
Category : Law
Languages : en
Pages : 293

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Book Description
It is crucial that forensic science meets challenges such as identifying hidden patterns in data, validating results for accuracy, and understanding varying criminal activities in order to be authoritative so as to hold up justice and public safety. Artificial intelligence, with its potential subsets of machine learning and deep learning, has the potential to transform the domain of forensic science by handling diverse data, recognizing patterns, and analyzing, interpreting, and presenting results. Machine Learning and deep learning frameworks, with developed mathematical and computational tools, facilitate the investigators to provide reliable results. Further study on the potential uses of these technologies is required to better understand their benefits. Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks provides an outline of deep learning and machine learning frameworks and methods for use in forensic science to produce accurate and reliable results to aid investigation processes. The book also considers the challenges, developments, advancements, and emerging approaches of deep learning and machine learning. Covering key topics such as biometrics, augmented reality, and fraud investigation, this reference work is crucial for forensic scientists, law enforcement, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Author: Udai Pratap Rao
Publisher: Springer Nature
ISBN: 9811690898
Category : Computers
Languages : en
Pages : 318

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Book Description
This book constitutes refereed proceedings of the International Conference on Security, Privacy and Data Analytics, ISPDA 2021. The volume covers a wide range of topics, including big data and analytics, cloud security and privacy, data intelligence, hardware security, network security, blockchain technology and distributed ledger, machine learning for security, and many others. The volume includes novel contributions and the latest developments from researchers across industry and academia working in security, privacy, and data analytics from technological and social perspectives. The book will serve as a valuable reference resource for academics and researchers across the globe.

Author: Sudeep Tanwar
Publisher: Springer Nature
ISBN: 9819914795
Category : Technology & Engineering
Languages : en
Pages : 920

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Book Description
This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.

Author: D. Jude Hemanth
Publisher: Springer Nature
ISBN: 9811676100
Category : Technology & Engineering
Languages : en
Pages : 1042

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Book Description
This book gathers selected papers presented at the 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021), organized by JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, India during 27 – 28 August 2021. This book solicits the innovative research ideas and solutions for almost all the intelligent data intensive theories and application domains. The general scope of this book covers the design, architecture, modeling, software, infrastructure and applications of intelligent communication architectures and systems for big data or data-intensive applications. In particular, this book reports the novel and recent research works on big data, mobile and wireless networks, artificial intelligence, machine learning, social network mining, intelligent computing technologies, image analysis, robotics and autonomous systems, data security and privacy.

Author: G. Ranganathan
Publisher: Springer Nature
ISBN: 9811653011
Category : Technology & Engineering
Languages : en
Pages : 944

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Book Description
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

Author: Arun Solanki
Publisher: Academic Press
ISBN: 0128236132
Category : Science
Languages : en
Pages : 444

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Book Description
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. Introduces the concept of Generative Adversarial Networks (GAN), including the basics of Generative Modelling, Deep Learning, Autoencoders, and advanced topics in GAN Demonstrates GANs for a wide variety of applications, including image generation, Big Data and data analytics, cloud computing, digital transformation, E-Commerce, and Artistic Neural Networks Includes a wide variety of biomedical and scientific applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing, and disease diagnosis Provides a robust set of methods that will help readers to appropriately and judiciously use the suitable GANs for their applications

Author: Qingshan Liu
Publisher: Springer Nature
ISBN: 9819985404
Category : Computers
Languages : en
Pages : 525

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Book Description
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.