Adversarial Machine Learning Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Adversarial Machine Learning
- Adversarial Deep Learning
- Security and Privacy in Adversarial Learning
- Game-Theoretical Attacks with Adversarial Deep Learning Models
- Physical Attacks in the Real World
- Adversarial Defense Mechanisms
- Adversarial Learning for Privacy Preservation