Practical Data Privacy: Enhancing Privacy and Security in Data - Couverture souple

Jarmul, Katharine

 
9781098129460: Practical Data Privacy: Enhancing Privacy and Security in Data
Couverture souple
ISBN 10 : 1098129466 ISBN 13 : 9781098129460
Editeur : O'Reilly Media, 2023

Synopsis

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.

Practical Data Privacy answers important questions such as:

  • What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases?
  • What does "anonymized data" really mean? How do I actually anonymize data?
  • How does federated learning and analysis work?
  • Homomorphic encryption sounds great, but is it ready for use?
  • How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help?
  • How do I ensure that my data science projects are secure by default and private by design?
  • How do I work with governance and infosec teams to implement internal policies appropriately?

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Katharine Jarmul is a privacy activist and data scientist whose work and research focuses on privacy and security in data science workflows. She works as a Principal Data Scientist at Thoughtworks and has held numerous leadership and independent contributor roles at large companies and startups in the US and Germany--implementing data processing and machine learning systems with privacy and security built in and developing forward-looking, privacy-first data strategy. She is a passionate and internationally recognized data scientist, programmer, and lecturer.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2023
Langue
anglais
ISBN 10 
1098129466
ISBN 13 
9781098129460
Reliure
Broché
Nombre de pages
300
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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