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Hardcover. Condizione: new. Hardcover. Differential Privacy in Artificial Intelligence: From Theory to Practice is a comprehensive resource designed to review the principles and applications of differential privacy in a world increasingly driven by data. This book delves into the theoretical underpinnings of differential privacy, its use in machine learning systems, practical implementation details, and its broader social and legal ramifications. Intended as a primer and a deep dive, it lays a solid foundation by introducing essential concepts and mechanisms critical to understanding differential privacy.From theoretical foundations to practical application, the book is organized into five distinct parts. Part I reviews the foundational notions of differential privacy in the central and local models, delving into composition and privacy amplification. The discussion extends to practical strategies for data release and the creation of synthetic data, which is essential for real-world applications. Part II focuses on the application of differential privacy in optimization and learning, examining the integration of privacy measures in machine learning, including private optimization methods and private federated learning.Beyond technical applications, the book highlights the use of differential privacy in critical sectors such as healthcare and energy, and discusses its implications in image and video analysis in Part III. Part IV provides a thorough look at the tools and challenges in deploying privacy-preserving models, including insights into programming frameworks and machine learning tools. Finally, Part V addresses the societal impact of differential privacy, discussing its intersection with public policy, law, fairness, and bias.Targeted at researchers, practitioners, and policymakers, Differential Privacy in Artificial Intelligence: From Theory to Practice aims to be an essential guide for anyone committed to advancing privacy in the digital age, providing the knowledge needed to develop and deploy effective and ethical privacy solutions across various domains. This book delves into the theoretical underpinnings of differential privacy, its use in machine learning systems, practical implementation details, and its broader social and legal ramifications Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781638284765
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781638284765
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 50258502-n
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 50258502-n
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 50258502
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 50258502
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Da: Revaluation Books, Exeter, Regno Unito
Hardcover. Condizione: Brand New. 475 pages. 6.14x1.38x9.21 inches. In Stock. Codice articolo x-1638284768
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526. Codice articolo C9781638284765
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Codice articolo LU-9781638284765
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Codice articolo LU-9781638284765
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