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Cyber Security Meets Machine Learning
Langbeschreibung
This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning.
Inhaltsverzeichnis
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.
Xiaofeng Chen is a professor of the School of Cyber Engineering, Xidian University, China. His research interests include cryptography, cloud computing security, artificial intelligence security. He has published over 180 research papers in refereed international conferences and journals. His work has been cited more than 10000 times according to Google Scholar. He has served as Program/General Chair for various international conferences such as ProvSec 2011, NSS 2014, AsiaCCS 2016, INSCRYPT 2017, ML4CS 2019. He has been the PC member for more than 50 international conferences in networking, and information security. He is in the Editorial Board of IEEE Transactions on Dependable and Secure Computing, Computer Standards & Interfaces (CSI), and Security & Privacy. He is a Senior Member of the IEEE.
ISBN-13:
9789813367265
Veröffentl:
2021
Seiten:
163
Autor:
Xiaofeng Chen
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
96,29 €*
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