Chen Kai Yang Qiang (13 results)

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Hardback. Condition: New. 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.…

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Brand New. 271 pages. 9.25x6.14x0.75 inches. In Stock.

Hardback. Condition: New. 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.…

paperback. Condition: New. Paperback.Pub Date:2022-02-01 Publisher:In the era of big data and artificial intelligence. how to protect their privacy while enjoying the convenience brought by new technologies is an important issue. The Privacy Computing system explains the basic technologies and practical cases of privacy computing. The book has 11 chapters and is divided into three parts according to the level. The first part comprehensively and systematically expounds privacy encryption computing techniques. including .…

Condition: New. Print on Demand.

Condition: New. Print on Demand 1st edition NO-PA16APR2015-KAP.

Condition: New. PRINT ON DEMAND.