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02162aam a22003618i 4500 001 20144A24DABF11EEBE8532184BECA4DB 003 SILO 005 20240305010131 008 231128s2024 enk b 001 0 eng 010 $a 2023038105 020 $a 1009299514 020 $a 9781009299510 035 $a (OCoLC)1414167417 040 $a DLC $b eng $e rda $c DLC $d SILO 042 $a pcc 050 00 $a QA76.9 P735 C44 2024 100 1 $a Chen, Kai $c (Computer scientist) $e author. 245 10 $a Privacy-preserving computing for big data analytics and AI / $c Kai Chen, Hong Kong University of Science and Technology, Qiang Yang, WeBank and Hong Kong University of Science and Technology. 264 1 $a Cambridge ; $b Cambridge University Press, $c 2024. 300 $a pages cm 504 $a Includes bibliographical references and index. 505 0 $a Introduction to privacy-preserving computing -- Secret sharing -- Homomorphic encryption -- Oblivious transfer -- Garbled circuit -- Differential privacy -- Trusted execution environment -- Federated learning -- Privacy-preserving computing platforms -- Case studies of privacy-preserving computing -- Future of privacy-preserving computing. 520 $a "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"-- $c Provided by publisher. 650 0 $a Privacy-preserving techniques (Computer science) 650 0 $a Computer security. 650 0 $a Data privacy. 650 0 $a Artificial intelligence. 700 1 $a Yang, Qiang, $d 1961- $e author. 776 08 $i Online version: $a Chen, Kai, 1980- $t Privacy-preserving computing for big data analytics and AI $d Cambridge ; New York, NY, USA : Cambridge University Press, 2024 $z 9781009299534 $w (DLC) 2023038106 941 $a 1 952 $l USUX851 $d 20240502013601.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=20144A24DABF11EEBE8532184BECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search