Buch, Englisch, 169 Seiten, Paperback, Format (B × H): 190 mm x 235 mm
Reihe: Synthesis Lectures on Artificial Intelligence and Machine Learning
Buch, Englisch, 169 Seiten, Paperback, Format (B × H): 190 mm x 235 mm
Reihe: Synthesis Lectures on Artificial Intelligence and Machine Learning
ISBN: 978-1-68173-395-1
Verlag: Morgan & Claypool Publishers
The field of adversarial machine learning has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation. This book provides a technical overview of this field. After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general categorization of attacks on machine learning. We then address two major categories of attacks and associated defenses: decision-time attacks, in which an adversary changes the nature of instances seen by a learned model at the time of prediction in order to cause errors, and poisoning or training time attacks, in which the actual training dataset is maliciously modified. In our final chapter devoted to technical content, we discuss recent techniques for attacks on deep learning, as well as approaches for improving robustness of deep neural networks. We conclude with a discussion of several important issues in the area of adversarial learning that in our view warrant further research.
Given the increasing interest in the area of adversarial machine learning, we hope this book provides readers with the tools necessary to successfully engage in research and practice of machine learning in adversarial settings.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- List of Figures
- Preface
- Acknowledgments
- Introduction
- Machine Learning Preliminaries
- Categories of Attacks on Machine Learning
- Attacks at Decision Time
- Defending Against Decision-Time Attacks
- Data Poisoning Attacks
- Defending Against Data Poisoning
- Attacking and Defending Deep Learning
- The Road Ahead
- Bibliography
- Authors' Biographies
- Index