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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
Other Authors: Chen, Xiaofeng (Editor), Susilo, Willy (Editor), Bertino, Elisa (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2021, 2021
Edition:1st ed. 2021
Subjects:
Computer Communication Networks
Machine Learning
Image Processing / Digital Techniques
Computer Vision
Database Management System
Application Software
Computer Networks 
Computer Imaging, Vision, Pattern Recognition And Graphics
Data Protection
Computer And Information Systems Applications
Data And Information Security
Database Management
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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

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