عنوان
پدید آورنده
موضوع
رده
QA76
QA76
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
1107338549
(Number (ISBN
9781107338548
Erroneous ISBN
1107043468
Erroneous ISBN
9781107043466
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Adversarial machine learning. /
General Material Designation
[Book]
First Statement of Responsibility
Anthony D. Joseph ; Blaine Nelson ; Benjamin I.P. Rubinstein.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cambridge :
Name of Publisher, Distributor, etc.
Cambridge University Press,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (338 pages)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
SUMMARY OR ABSTRACT
Text of Note
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.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781107043466
TOPICAL NAME USED AS SUBJECT
Communication.
Computer science.
Information Theory and Security
Information theory.
Machine learning.
Pattern perception.
Pattern Recognition and Machine Learning
Communication.
Computer science.
COMPUTERS-- Security-- General.
Information theory.
Machine learning.
Pattern perception.
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3/1
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
OTHER CLASS NUMBERS
Class number
COM053000
System Code
bisacsh
PERSONAL NAME - PRIMARY RESPONSIBILITY
Joseph, Anthony D.
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Nelson, Blaine.
Rubinstein, Benjamin I. P.
ORIGINATING SOURCE
Date of Transaction
20200822150409.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
