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

Gebundenes Buch

Adversarial Machine Learning

Beschreibung

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.

Autor

Anthony D. Joseph is a Chancellor's Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He was formerly the Director of Intel Labs Berkeley.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 338
• Erscheinungstermin: 21. Februar 2019
• Englisch
• Abmessung: 254mm x 177mm x 25mm
• Gewicht: 834g
• ISBN-13: 9781107043466
• ISBN-10: 1107043468
• Artikelnr.: 48095438