MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01872cam a22002178i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781107043466 (hardback) |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
JOS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Joseph, Anthony D., |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Adversarial machine learning / |
| Statement of responsibility, etc. |
Anthony D. Joseph, University of California, Berkeley, Blaine Nelson, Google, Benjamin I.P. Rubinstein, University of Melbourne, J.D. Tygar, University of California, Berkeley. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Name of publisher, distributor, etc. |
Cambridge University Press |
| Date of publication, distribution, etc. |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 325 pages |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 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. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
COMPUTERS / Security / General. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nelson, Blaine, |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rubinstein, Benjamin I. P., |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tygar, J. D., |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Book |
