Cyber Security Meets Machine Learning /

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial inte...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Chen, Xiaofeng (Editor), Susilo, Willy (Editor), Bertino, Elisa (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Computer security. Machine learning. Optical data processing. Computers. Computer communication systems. Application software. Systems and Data Security. Machine Learning. Computer Imaging, Vision, Pattern Recognition and Graphics. Information Systems and Communication Service. Computer Communication Networks. Computer Applications. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. IoT Attacks and Malware
Chapter 2. Machine Learning-based Online Source Identification for Image Forensics
Chapter 3. Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles
Chapter 4. Visual Analysis of Adversarial Examples in Machine Learning
Chapter 5. Adversarial Attacks against Deep Learning-based Speech Recognition Systems
Chapter 6. Secure Outsourced Machine Learning
Chapter 7. A Survey on Secure Outsourced Deep Learning.