Products related to Adversarial:
-
Adversarial Learning and Secure AI
Providing a logical framework for student learning, this is the first textbook on adversarial learning.It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust.To help students connect theory with practice, it explains and evaluates attack-and-defense scenarios alongside real-world examples.Feasible, hands-on student projects, which increase in difficulty throughout the book, give students practical experience and help to improve their Python and PyTorch skills.Book chapters conclude with questions that can be used for classroom discussions.In addition to deep neural networks, students will also learn about logistic regression, naïve Bayes classifiers, and support vector machines.Written for senior undergraduate and first-year graduate courses, the book offers a window into research methods and current challenges.Online resources include lecture slides and image files for instructors, and software for early course projects for students.
Price: 54.99 £ | Shipping*: 0.00 £ -
Machine Learning Algorithms : Adversarial Robustness in Signal Processing
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms.Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks.Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing.Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA).As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system.The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features.The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis.In the end, the authors consider the adversarial robustness of the subspace learning problem.The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects.R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
Price: 119.99 £ | Shipping*: 0.00 £ -
Generative Adversarial Networks in Practice
This book is an all-inclusive resource that provides a solid foundation on Generative Adversarial Networks (GAN) methodologies, their application to real-world projects, and their underlying mathematical and theoretical concepts. Key Features: Guides you through the complex world of GANs, demystifying their intricacies Accompanies your learning journey with real-world examples and practical applications Navigates the theory behind GANs, presenting it in an accessible and comprehensive way Simplifies the implementation of GANs using popular deep learning platforms Introduces various GAN architectures, giving readers a broad view of their applications Nurture your knowledge of AI with our comprehensive yet accessible content Practice your skills with numerous case studies and coding examples Reviews advanced GANs, such as DCGAN, cGAN, and CycleGAN, with clear explanations and practical examples Adapts to both beginners and experienced practitioners, with content organized to cater to varying levels of familiarity with GANs Connects the dots between GAN theory and practice, providing a well-rounded understanding of the subject Takes you through GAN applications across different data types, highlighting their versatility Inspires the reader to explore beyond this book, fostering an environment conducive to independent learning and research Closes the gap between complex GAN methodologies and their practical implementation, allowing readers to directly apply their knowledge Empowers you with the skills and knowledge needed to confidently use GANs in your projectsPrepare to deep dive into the captivating realm of GANs and experience the power of AI like never before with Generative Adversarial Networks (GANs) in Practice.This book brings together the theory and practical aspects of GANs in a cohesive and accessible manner, making it an essential resource for both beginners and experienced practitioners.
Price: 81.99 £ | Shipping*: 0.00 £ -
Computer Vision : Object Detection In Adversarial Vision
This comprehensive textbook presents a broad review of both traditional (i.e., conventional) and deep learning aspects of object detection in various adversarial real-world conditions in a clear, insightful, and highly comprehensive style.Beginning with the relation of computer vision and object detection, the text covers the various representation ofobjects, applications of object detection, and real-world challenges faced by the research community for object detection task.The book addresses various real-world degradations and artifacts for the object detection task and also highlights the impacts of artifacts in the object detection problems.The book covers various imaging modalities and benchmark datasets mostly adopted by the research community for solving various aspects of object detection tasks.The book also collects together solutions and perspectives proposed by the preeminent researchers in the field, addressing not only the background of visibility enhancement but also techniques proposed in the literature for visibility enhancement of scenes and detection of objects in various representative real-world challenges. Computer Vision: Object Detection in Adversarial Vision is unique for its diverse content, clear presentation, and overall completeness.It provides a clear, practical, and detailed introduction and advancement of object detection in various representative challenging real-world conditions. Topics and Features:• Offers the first truly comprehensive presentation of aspects of the object detection in degraded and nondegraded environment. • Includes in-depth discussion of various degradation and artifacts, and impact of those artifacts in the real world on solving the object detection problems. • Gives detailed visual examples of applications of object detection in the real world. • Presents a detailed description of popular imaging modalities for object detection adopted by researchers. • Presents the key characteristics of various benchmark datasets in indoor and outdoor environment for solving object detection tasks. • Surveys the complete field of visibility enhancement of degraded scenes, including conventional methods designed for enhancing the degraded scenes as well as the deep architectures. • Discusses techniques for detection of objects in real-world applications. • Contains various hands-on practical examples and a tutorial for solving object detection problems using Python. • Motivates readers to build vision-based systems for solving object detection problems in degraded and nondegraded real-world challenges. The book will be of great interest to a broad audience ranging from researchers and practitioners to graduate and postgraduate students involved in computer vision tasks with respect to object detection in degraded and nondegraded real-world vision problems.
Price: 150.00 £ | Shipping*: 0.00 £
-
What is your reference point for knowledge?
My reference point for knowledge is a combination of personal experience, critical thinking, and information from reliable sources. I believe in learning from my own experiences and reflecting on them, as well as being open to new ideas and perspectives. I also value information from credible sources such as academic research, experts in the field, and reputable publications. Overall, my reference point for knowledge is based on a combination of personal experience, critical thinking, and reliable information.
-
Who has knowledge or can research well?
People with a strong educational background, experience in a specific field, or access to reliable sources can have knowledge or research well. Additionally, individuals who are curious, critical thinkers, and have good analytical skills are also likely to excel in research. Furthermore, professionals such as scientists, academics, journalists, and librarians are known for their ability to conduct thorough and accurate research.
-
How can I research information about witchcraft?
To research information about witchcraft, you can start by reading books on the subject written by reputable authors and scholars. Look for academic journals, articles, and documentaries that explore the history, practices, and beliefs associated with witchcraft. You can also attend workshops, conferences, or events related to witchcraft to learn from practitioners and experts in the field. Additionally, online resources such as websites, forums, and social media groups dedicated to witchcraft can provide valuable insights and information.
-
What information do market research studies reveal?
Market research studies reveal a wide range of information about consumer behavior, preferences, and trends. This can include data on demographics, purchasing habits, brand awareness, and customer satisfaction. Market research also provides insights into market size, competition, and potential opportunities for new products or services. Overall, market research studies help businesses make informed decisions about their marketing strategies, product development, and overall business operations.
Similar search terms for Adversarial:
-
Agonistic Democracy and Political Practice : Ways of Being Adversarial
This book explores the implications of agonistic democratic theory for political practice.Fuat Gürsözlü argues that at a time when political parties exacerbate political division, political protesters are characterized as looters and terrorists, and extreme partisanship and authoritarian tendencies are on the rise, the agonistic approach offers a much-needed rethinking of political practice to critically understand challenges to democracy and envision more democratic, inclusive, and peaceful alternatives.Inspired by Chantal Mouffe’s agonistic theory and drawing on insightsof other prominent agonistic scholars, Gürsözlü offers a distinctive approach that develops the connections between the agonistic approach and political practice.His main claim is that approaching democratic politics from an agonistic perspective changes the way we understand the nature of democratic society, the place of political protest in democracy, the nature of adversarial engagement, and the democratic function of political parties.The book also advances an account of agonistic peace that is best fitted to the pluralistic and inherently conflictual nature of democratic societies.This book should be of interest to anyone working in the field of contemporary political theory, political philosophy, peace studies, and philosophy of peace.
Price: 69.99 £ | Shipping*: 0.00 £ -
Adversarial Legalism : The American Way of Law, Second Edition
In the first edition of this groundbreaking book, Robert Kagan explained why America is much more adversarial—likely to rely on legal threats and lawsuits—than other economically advanced countries, with more prescriptive laws, more costly adjudications, and more severe penalties.This updated edition also addresses the rise of the conservative legal movement and anti-statism in the Republican party, which have put in sharp relief the virtues of adversarial legalism in its ability to empower citizens, lawyers, and judges to mount challenges to the arbitrary or unlawful exercise of government authority. “This is a wonderful piece of work, richly detailed and beautifully written.It is the best, sanest, and most comprehensive evaluation and critique of the American way of law that I have seen.Every serious scholar concerned with justice and efficiency, and every policymaker who is serious about improving the American legal order, should read this trenchant and exciting book.”—Lawrence Friedman, Stanford University“A tour de force.It is an elegantly written, consistently insightful analysis and critique of the American emphasis on litigation and punitive sanctions in the policy and administrative process.”—Charles R.Epp, Law and Society Review
Price: 29.95 £ | Shipping*: 0.00 £ -
Food Information, Communication and Education : Eating Knowledge
Food Information, Communication and Education analyses the role of different media in producing and transforming knowledge about food. ‘Eating knowledge’, or knowledge about food and food practice, is a central theme of cooking classes, the daily press, school textbooks, social media, popular magazines and other media.In addition, a wide variety of actors have taken on the responsibility of informing and educating the public about food, including food producers, advertising agencies, celebrity chefs, teachers, food bloggers and government institutions. Featuring a range of European case studies, this interdisciplinary collection advances our understanding of the processes of mediatization, circulation and reception of knowledge relating to food within specific social environments.Topics covered include: popularized knowledge about food carried over from past to present; the construction of trustworthy knowledge in today’s food risk society; critical assessment of nutrition education initiatives for children; and political and ideological implications of food information policy and practice.
Price: 90.00 £ | Shipping*: 0.00 £ -
Action Research in Education : Learning Through Practitioner Enquiry
Action Research in Education is an essential guide for any lecturer, teacher or student-teacher interested in doing research.This exciting new edition of a popular text is an important resource for any education professional interested in investigating learning and teaching.Building on the success of Action Research in the Classroom, the authors have revised, updated and extended this book to include examples from further and higher education. It maps out easy-to-follow steps for usefully applying an action research approach and is full of practical tips and examples of real practitioner research projects from a range of schools, colleges and universities.This book will help teachers to:- understand and apply practitioner inquiry- enhance their problem-solving skills- locate their own activity in a wider context- maximise opportunities to develop practice- evaluate the needs of their learnersClear, pragmatic and timely, this is a must-have text for all teachers and students of education. Vivienne Baumfield is Professor of Pedagogy, Policy and Innovation in the School of Education, University of GlasgowElaine Hall is Lecturer in Research Methods, School of Education, Communication and Language Sciences, Newcastle UniversityKate Wall is Senior Lecturer in the School of Education, Durham University
Price: 39.99 £ | Shipping*: 0.00 £
-
How can one expand knowledge and education?
One can expand knowledge and education by seeking out new experiences, reading widely on a variety of topics, engaging in discussions with others, and pursuing formal education through classes or courses. Additionally, seeking out mentors or experts in a particular field can provide valuable insights and knowledge. Embracing a growth mindset and being open to learning from different perspectives can also contribute to expanding knowledge and education.
-
How do you reference the appendix in a research paper?
To reference the appendix in a research paper, you should mention it in the main body of your paper where relevant information is discussed. For example, you can say "Please refer to Appendix A for additional data on this topic." In the appendix section itself, you should label each appendix with a letter or number (e.g., Appendix A, Appendix 1) and provide a title that clearly describes its contents. Make sure to include citations or references within the appendix if you are including any additional sources or information.
-
What does "extremely solid professional knowledge" mean in a job reference?
"Extremely solid professional knowledge" in a job reference means that the individual has a deep and comprehensive understanding of their field or industry. It suggests that they possess a high level of expertise and skill, and are able to effectively apply their knowledge to their work. This term indicates that the individual is highly competent and capable in their profession, and is likely to be a valuable asset to any organization.
-
What is the difference between learning and acquiring knowledge?
Learning involves the process of gaining knowledge or skills through study, experience, or teaching. It is an active process that requires engagement and understanding of the information being acquired. Acquiring knowledge, on the other hand, refers to simply obtaining information or facts without necessarily understanding or internalizing it. Learning involves a deeper level of understanding and application of knowledge, while acquiring knowledge can be more passive and superficial.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.