MARC details
000 -LEADER |
fixed length control field |
02178cam a22003258i 4500 |
001 - CONTROL NUMBER |
control field |
23397616 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250527154416.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
231128s2024 enk b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2023038105 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781009299510 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781009299534 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Language of cataloging |
eng |
Description conventions |
rda |
Transcribing agency |
DLC |
Modifying agency |
DLC |
042 ## - AUTHENTICATION CODE |
Authentication code |
pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.P735 |
Item number |
C44 2024 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.8 CHE-K |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Chen, Kai |
245 10 - TITLE STATEMENT |
Title |
Privacy-preserving computing for big data analytics and AI / |
Statement of responsibility, etc. |
Kai Chen and Qiang Yang |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
United Kingdom |
Name of publisher, distributor, etc. |
Cambridge University Press |
Date of publication, distribution, etc. |
2022 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
255 p. |
500 ## - GENERAL NOTE |
General note |
Privacy-preserving computing aims to protect the personal information of users while capitalising 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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Privacy-preserving techniques (Computer science) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer security. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data privacy. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Yang, Qiang, |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Online version: |
Main entry heading |
Chen, Kai, 1980- |
Title |
Privacy-preserving computing for big data analytics and AI |
Place, publisher, and date of publication |
Cambridge ; New York, NY, USA : Cambridge University Press, 2024 |
International Standard Book Number |
9781009299534 |
Record control number |
(DLC) 2023038106 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
1 |
e |
ecip |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
955 ## - COPY-LEVEL INFORMATION (RLIN) |
Book number/undivided call number, CCAL (RLIN) |
rk21 2023-11-28 |
Copy status, CST (RLIN) |
rk21 2023-11-28 to rk09 for rev (then to PTCP for class/subj. proposal?) |
Classification number, CCAL (RLIN) |
js10 2023-12-12 to Dewey |
952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
Withdrawn status |
|