Adversarial Learning and Secure AI
David J. (Pennsylvania State University) Miller, George (Pennsylvania State University) Kesidis, Zhen (University of Illinois, Urbana-Champaign) Xiang
Cambridge University Press, 2023
92,95 €On orderDelivery: 2-3 weeks
Designed for upper undergraduate and graduate courses on adversarial learning and AI security, this textbook connects theory with practice using real-world examples, case studies, and hands-on student projects.
- ISBN-13
- 9781009315678
- ISBN-10
- 1009315676
- Publisher
- Cambridge University Press
- Year
- 2023
- Publication date
- 2023-08-31
- Pages
- 350
- Dimensions
- 175x251x25
- Weight
- 866