Practical Data Privacy

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With the increasing pressure from privacy regulations and data breaches, understanding modern privacy tools is crucial. This guide explores essential concepts like differential privacy, federated learning, and encrypted computation. It offers practical advice and best practices for effectively integrating these privacy-enhancing technologies into data systems. By sharing hard-won lessons, the book addresses critical questions about data privacy, making it a valuable resource for navigating the complexities of ensuring data protection in production environments.