You're reading from Machine Learning Security with Azure

Product typeBook

Published inDec 2023

PublisherPackt

ISBN-139781805120483

Edition1st Edition

Tools

Azure

Concepts

Machine Learning

Author (1)

Georgia Kalyva

Part 1: Planning for Azure Machine Learning Security

This part is all about creating a plan to secure your resources. Security is organization-specific so you will get an overview of the Zero Trust security approach designed to secure any implementation of IT systems. You will learn to leverage the MITRE ATLAS knowledge base to understand ML attacks. Finally, you will also learn how to develop AI systems ethically and responsibly and how to use Azure services to ensure regulatory compliance.

This part has the following chapters:

Chapter 1, Assessing the Vulnerability of Your Algorithms, Models, and AI Environments
Chapter 2, Understanding the Most Common Machine Learning Attacks
Chapter 3, Planning for Regulatory Compliance

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Machine Learning Security with Azure

Published in: Dec 2023Publisher: PacktISBN-13: 9781805120483

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Author (1)

Georgia Kalyva

Georgia Kalyva is a technical trainer at Microsoft. She was recognized as a Microsoft AI MVP, is a Microsoft Certified Trainer, and is an international speaker with more than 10 years of experience in Microsoft Cloud, AI, and developer technologies. Her career covers several areas, ranging from designing and implementing solutions to business and digital transformation. She holds a bachelor's degree in informatics from the University of Piraeus, a master's degree in business administration from the University of Derby, and multiple Microsoft certifications. Georgia's honors include several awards from international technology and business competitions, and her journey to excellence stems from a growth mindset and a passion for technology.
Read more about Georgia Kalyva

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