Adversarial Machine Learning
Anthony D. (University of California, Berkeley) Joseph, Benjamin I. P. (University of Melbourne) Rubinstein, Blaine Nelson, J. D. (University of California, Berkeley) Tygar
Cambridge University Press, 2019
125,95 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9781107043466
- ISBN-10
- 1107043468
- Publisher
- Cambridge University Press
- Year
- 2019
- Publication date
- 2019-02-21
- Pages
- 338
- Dimensions
- 250x179x21
- Weight
- 800