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Secure Knowledge Management In The Artificial Intelligence Era

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Cover of 'Secure Knowledge Management In The Artificial Intelligence Era'

Table of Contents

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    Book Overview
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    Chapter 1 Adversarial Robustness of Image Based Android Malware Detection Models
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    Chapter 2 DyPolDroid : Protecting Users and Organizations from Permission-Abuse Attacks in Android
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    Chapter 3 Metacognitive Skills in Phishing Email Detection: A Study of Calibration and Resolution
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    Chapter 4 Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
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    Chapter 5 A Framework for Syntactic and Semantic Quality Evaluation of Ontologies
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    Chapter 6 Attribute-Based Access Control Policy Review in Permissioned Blockchain
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    Chapter 7 Learning Password Modification Patterns with Recurrent Neural Networks
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    Chapter 8 Analyzing CNN Models’ Sensitivity to the Ordering of Non-natural Data
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    Chapter 9 Dealing with Complexity for Immune-Inspired Anomaly Detection in Cyber Physical Systems
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    Chapter 10 RQ Labs: A Cybersecurity Workforce Talent Program Design
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    Chapter 11 Do Fake News Between Different Languages Talk Alike? A Case Study of COVID-19 Related Fake News
Attention for Chapter 8: Analyzing CNN Models’ Sensitivity to the Ordering of Non-natural Data
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Chapter title
Analyzing CNN Models’ Sensitivity to the Ordering of Non-natural Data
Chapter number 8
Book title
Secure Knowledge Management In The Artificial Intelligence Era
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-030-97532-6_8
Book ISBNs
978-3-03-097531-9, 978-3-03-097532-6
Authors

Klepetko, Randy, Krishnan, Ram

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