Adversarial machine learning
Auteur :
Joseph, Anthony D. / Nelson, Blaine / Rubinstein, Benjamin I. P. / Tygar, J. D.
Éditeur :
Cambridge University Press
ISBN :
9781107043466
Date de publication :
21 févr. 2019
Dimensions :
25,4 x 17,8 x 1,9 cm
Poids :
840 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
Combining essential theory and practical techniques for analysing system security, and building robust machine learning in adversarial environments, as well as including case studies on email spam and network security, this complete introduction is an invaluable resource for researchers, practitioners and students in computer security and machine learning.