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Unlocking Data Insights with Privacy Enhancing Technologies
The chapter explores privacy enhancing technologies (PETs) and their role in enabling collaboration on sensitive data like personal identity or health information while maintaining privacy and adhering to regulations like GDPR. It highlights examples such as homomorphic encryption, secure multi-party computation, federated learning, and trusted execution environments to showcase how data privacy can be preserved while deriving valuable insights. The discussion emphasizes the importance of integrating PETs in various sectors like law enforcement, healthcare, and financial services to balance data analysis with privacy protection.