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Cyber Security, Cryptology, and Machine Learning

Overview of attention for book
Cover of 'Cyber Security, Cryptology, and Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Blind Rotation in Fully Homomorphic Encryption with Extended Keys
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    Chapter 2 Monitoring Time Series with Missing Values: A Deep Probabilistic Approach
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    Chapter 5 Simulating a Coupon Collector
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    Chapter 6 On the Undecidability of the Panopticon Detection Problem
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    Chapter 7 Privacy-Preserving Contrastive Explanations with Local Foil Trees
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    Chapter 8 Timing Leakage Analysis of Non-constant-time NTT Implementations with Harvey Butterflies
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    Chapter 9 Predicting the Direction of Changes in the Values of Time Series for Relatively Small Training Samples
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    Chapter 10 Machine-Learning Based Objective Function Selection for Community Detection
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    Chapter 11 Randomness for Randomness Testing
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    Chapter 12 Botnet Attack Identification Based on SDN
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    Chapter 16 A Heuristic Framework to Search for Approximate Mutually Unbiased Bases
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    Chapter 17 Counter Mode for Long Messages and a Long Nonce
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    Chapter 18 Transfer Learning for Time Series Classification Using Synthetic Data Generation
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    Chapter 19 Non-stopping Junctions via Traffic Scheduling
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    Chapter 22 Auditable, Available and Resilient Private Computation on the Blockchain via MPC
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    Chapter 23 Union Buster: A Cross-Container Covert-Channel Exploiting Union Mounting
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    Chapter 24 Mutual Accountability Layer: Accountable Anonymity Within Accountable Trust
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    Chapter 25 Faster Post-Quantum TLS Handshakes Without Intermediate CA Certificates
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    Chapter 26 Enhancing Cybersecurity of Satellites at Sub-THz Bands
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    Chapter 27 Polynomial Approximation of Inverse sqrt Function for FHE
Attention for Chapter 22: Auditable, Available and Resilient Private Computation on the Blockchain via MPC
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Chapter title
Auditable, Available and Resilient Private Computation on the Blockchain via MPC
Chapter number 22
Book title
Cyber Security, Cryptology, and Machine Learning
Published by
Springer, Cham, June 2022
DOI 10.1007/978-3-031-07689-3_22
Book ISBNs
978-3-03-107688-6, 978-3-03-107689-3
Authors

Cordi, Christopher, Frank, Michael P., Gabert, Kasimir, Helinski, Carollan, Kao, Ryan C., Kolesnikov, Vladimir, Ladha, Abrahim, Pattengale, Nicholas

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Unknown 5 83%
Readers by discipline Count As %
Computer Science 1 17%
Unknown 5 83%

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