Deployable Machine Learning for Security Defense Deployable Machine Learning for Security Defense

Deployable Machine Learning for Security Defense

First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Gang Wang والمزيد
    • ‏64٫99 US$
    • ‏64٫99 US$

وصف الناشر

This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. 
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٧ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Information Systems Security Information Systems Security
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Data Analytics and Decision Support for Cybersecurity Data Analytics and Decision Support for Cybersecurity
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Exploring Malicious Hacker Communities Exploring Malicious Hacker Communities
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Science of Cyber Security Science of Cyber Security
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Security and Privacy in Communication Networks Security and Privacy in Communication Networks
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Artificial Intelligence and Cybersecurity Artificial Intelligence and Cybersecurity
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Data-driven Optimization and Control for Autonomous Energy Systems Data-driven Optimization and Control for Autonomous Energy Systems
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Geotechnical Safety and Risk IV Geotechnical Safety and Risk IV
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Deployable Machine Learning for Security Defense Deployable Machine Learning for Security Defense
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An Introduction to Metallic Glasses and Amorphous Metals An Introduction to Metallic Glasses and Amorphous Metals
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Flexible and Wearable Electronics for Smart Clothing Flexible and Wearable Electronics for Smart Clothing
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Introduction to Micromechanics and Nanomechanics Introduction to Micromechanics and Nanomechanics
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