Free shipping over $79 | Order by Dec 31 and enjoy a $10 voucher on your next purchase
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Adversarial Machine Learning - Anthony D. Joseph

Adversarial Machine Learning

By: Anthony D. Joseph, Blaine Nelson, Benjamin I. P. Rubinstein, J. D. Tygar

eBook | 31 October 2017

At a Glance

eBook

RRP $157.95

$134.99

15%OFF

or 4 interest-free payments of $33.75 with

 or 

Instant Digital Delivery to your Kobo Reader App

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.

on

You Can Find This eBook In

Non-FictionComputing & I.T.Computer Networking & CommunicationsComputer SecurityData EncryptionComputer ScienceArtificial IntelligenceMachine LearningReference, Information & Interdisciplinary SubjectsResearch & InformationInformation theoryDigital Signal Processing (DSP)
Library & Info SciencesLibrary & Information Services

More in Data Encryption

This product is categorised by