Share E-Book

AuthorKatharine Jarmul

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.

AI Reading Assistant

Whole-book reading guide from stratified index samples; jump to passages in the text

Tags
AI categories
data privacyprivacy engineeringdifferential privacy
ISBN: 1098129466
Publish Year: 2023
Language: English
Pages: 500
File Format: PDF
File Size: 8.5 MB
Text Preview (First 20 pages)
Registered users can read the full content for free

Register as a Gaohf Library member to read the complete e-book online for free and enjoy a better reading experience.

Generating text preview…