Price loading...

Differential Privacy in Artificial Intelligence: From, Theory to Practice (NowOpen)

AI & Machine Learning

Price data last checked 106 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

The ebook edition of this title is Open Access and freely available to read online. 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.

Product Specifications

Format: hardcover
ASIN: 1638284768
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 July 2025
Listed Since: 23 December 2024

Barcode

No barcode data available

Differential Privacy in Artificial Intelligence: From, Theory to Practice (NowOpen)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Differential Privacy for Databases (Foundations and Trends® in Databases)

AI Data Privacy and Protection: The Complete Guide to Ethical AI, Data Privacy, and Security

Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity (Advances in Information Security, Privacy, and Ethics)

Privacy and AI: Protecting Individuals in the Age of AI

CRC Press Digital Privacy: Theory, Technologies, and Practices

AI Data Privacy and Protection: The Complete Guide to Ethical AI, Data Privacy, and Security

Springer Handbook of Big Data Privacy - AI and IoT Security

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity

Platform and Model Design for Responsible AI: Design and build resilient, private, fair, and transparent machine learning models

Synthetic Data for Deep Learning: 174 (Springer Optimization and Its Applications, 174)

Security and Privacy in Federated Learning (Digital Privacy and Security)

Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques: 19 (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Differential Privacy and Applications: 69 (Advances in Information Security, 69)

Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications: 18 (Learning and Analytics in Intelligent Systems, 18)

CRC Press AI, Machine Learning and Deep Learning Security Book

Artificial Intelligence in Cyber Security: Impact and Implications: Security Challenges, Technical and Ethical Issues, Forensic Investigative ... and Technologies for Security Applications)

Handbook of Big Data Privacy

Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

International Cybersecurity and Privacy Law in Practice

Automated Secure Computing for Next-Generation Systems

Data Protection in a Post-Pandemic Society: Laws, Regulations, Best Practices and Recent Solutions

Privacy-Preserving in Edge Computing (Wireless Networks)

Privacy in Practice: Establish and Operationalize a Holistic Data Privacy Program (Security, Audit and Leadership Series)