Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies

Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies Login for the JSON version of this page.
Average: 0.00, 0 Ratings
Title
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies
ISBN-10
0-309-49610-1
ISBN-13
978-0-309-49610-0
Author(s)
National Academies Of Sciences Engineering And Medicine, Intelligence Community Studies Board, Division On Engineering And Physical Sciences, Board On Mathematical Sciences And Analytics, Computer Science And Telecommunications Board
Publisher
National Academies Press
Published
2019
Format
Subtitle
Login for full book details.
Series
Login to see series details.
Imprint
Login for imprint details.
Pages
891
Language
Login for language details.
Subjects
Login for subjects details.
Genre
Login for genre details.
Description

Login for description.

Metadata
EAN
9780309496100
ASIN
0309496101
Prefix
978
Group
0
Group Name
English language
Group Identifier
978-0
Registrant
309
Publication
49610
Check Digit
0
Formatted
978-0-309-49610-0

Related Articles from our Blog

What is an EAN and How Does it Relate to an ISBN?

If you’ve ever purchased a product online or in a store, you’ve likely come across a barcode. Behind these barcodes lies a standardized system that makes modern commerce possible. Two key codes often encountered are the EAN (European Article Number) and ISBN (International Standard Book Number). But what are they, how are they connected, and why are they so crucial? Let’s explore.

Read More