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

王刚
    • US$64.99
    • US$64.99

来自出版社的简介

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.

类型
计算机与互联网
上架日期
2020年
10月17日
语言
EN
英文
长度
172
出版社
Springer International Publishing
销售商
Springer Nature B.V.
大小
23.7
MB
Information Systems Security Information Systems Security
2022年
Data Analytics and Decision Support for Cybersecurity Data Analytics and Decision Support for Cybersecurity
2017年
Exploring Malicious Hacker Communities Exploring Malicious Hacker Communities
2021年
Science of Cyber Security Science of Cyber Security
2021年
Security and Privacy in Communication Networks Security and Privacy in Communication Networks
2020年
Artificial Intelligence and Cybersecurity Artificial Intelligence and Cybersecurity
2022年
Data-driven Optimization and Control for Autonomous Energy Systems Data-driven Optimization and Control for Autonomous Energy Systems
2025年
Geotechnical Safety and Risk IV Geotechnical Safety and Risk IV
2013年
Integrated Systems Analysis of Ecosystems Integrated Systems Analysis of Ecosystems
2026年
Deployable Machine Learning for Security Defense Deployable Machine Learning for Security Defense
2021年
An Introduction to Metallic Glasses and Amorphous Metals An Introduction to Metallic Glasses and Amorphous Metals
2021年
Flexible and Wearable Electronics for Smart Clothing Flexible and Wearable Electronics for Smart Clothing
2020年