Название: Practical Data Privacy: Enhancing Privacy and Security in Data (Final Release)
Автор: Katharine Jarmul
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 500
Язык: английский
Формат: pdf, epub (true)
Размер: 12.6 MB
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, Federated Learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. What Is Data Privacy? In a simple sense, data privacy protects data and people by enabling and guaranteeing more privacy for data via access, use, processing, and storage controls. Usually this data is people-related, but it applies to all types of processing. This definition, however, doesn’t fully cover the world of data privacy. Federated Learning (FL) and distributed Data Science provide new ways to think about how you do data analysis by keeping data at the edge: on phones, laptops, edge services — or even on-premise architecture or separate cloud architecture when working with partners.