Wow! eBook
Practical Data Privacy: Enhancing Privacy and Security in Data
Author(s): Katharine Jarmul (Author)
- Publisher: O'Reilly Media
- Publication Date: June 6, 2023
- Edition: 1st
- Language: English
- Print length: 344 pages
- ISBN-10: 1098129466
- ISBN-13: 9781098129460
Book Description
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?
Editorial Reviews
Review
—Emily F. Gorcenski, Principal Data Scientist, Data & AI Service Line Lead, Thoughtworks
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finally have a book I point people to when they avoid the topic of data privacy.—Vincent Warmerdam, creator of calmcode and senior data person
Some data scientists see privacy as something that gets in their way. If you’re not one of them, if you believe privacy is morally and commercially desirable, if you appreciate the rigor and wonder in engineering privacy, if you want to understand the state of the art of the field, then Katharine Jarmul’s book is for you.
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Finally, a book on practical privacy written for one of the most important actors of data protection in practice: data scientists and engineers! From pseudonymization to differential privacy all the way to data provenance, it introduces fundamental concepts in clear terms, with example and code snippets, giving data practitioners the information they need to start thinking about how to implement privacy in practice, using the tools at their disposal. Thank you for this much-needed resource!
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Consumer privacy protection will define the next decade of Internet technology platforms. Jarmul has written the definitive book on this topic, capturing a decade of learnings on building privacy-first systems.
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About the Author
For the past five years, Katharine has focused on answering the question: How do we perform privacy-aware data science and machine learning? To answer this question, she’s worked on the legal and technical aspects of regulations like GDPR, as well as helped build an encrypted learning platform based on multi-party computation.
