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Privacy-preserving Computing: for Big Data Analytics and AI - Hardcover

 
9781009299510: Privacy-preserving Computing: for Big Data Analytics and AI
  • PublisherCambridge University Press
  • Publication date2024
  • ISBN 10 1009299514
  • ISBN 13 9781009299510
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages271

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Chen, Kai; Yang, Qiang
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Hardcover. Condition: new. Hardcover. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities unlocked by big data. This practical introduction for students, researchers, and industry practitioners is the first cohesive and systematic presentation of the field's advances over four decades. The book shows how to use privacy-preserving computing in real-world problems in data analytics and AI, and includes applications in statistics, database queries, and machine learning. The book begins by introducing cryptographic techniques such as secret sharing, homomorphic encryption, and oblivious transfer, and then broadens its focus to more widely applicable techniques such as differential privacy, trusted execution environment, and federated learning. The book ends with privacy-preserving computing in practice in areas like finance, online advertising, and healthcare, and finally offers a vision for the future of the field. Privacy-preserving computing aims to protect the personal information of users while capitalizing on the possibilities offered by big data. This practical introduction for students, researchers, and industry practitioners presents a systematic tour of recent advances in privacy-preserving methods for real-world problems in analytics and AI. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009299510

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