NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Adversarial machine learning / (Record no. 9943)

MARC details
000 -LEADER
fixed length control field 02397nam a2200373 i 4500
001 - CONTROL NUMBER
control field CR9781107338548
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240807165923.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130215s2019||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107338548 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781107043466 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5
Item number .J69 2019
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Joseph, Anthony D.,
Relator term author.
245 10 - TITLE STATEMENT
Title Adversarial machine learning /
Statement of responsibility, etc. Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xii, 325 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 13 Mar 2019).
520 ## - SUMMARY, ETC.
Summary, etc. Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning, and those wanting to learn about the next stage of the cybersecurity arms race.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer security.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nelson, Blaine,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rubinstein, Benjamin I. P.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tygar, J. D.,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781107043466
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.cambridge.org/core/product/identifier/9781107338548/type/BOOK">https://www.cambridge.org/core/product/identifier/9781107338548/type/BOOK</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type eBooks
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Date acquired Total checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Computer Science Central Library Central Library 07/08/2024   EB0045 07/08/2024 07/08/2024 eBooks