AI, Machine Learning and Deep Learning: A Security Perspective

This book is the first to explain practical attacks and countermeasures to AI systems, targeting AI/ML/DL engineers and scientists in vehicle, robot, smart city, and intelligent transportation industries. It offers multiple solution spaces to address security and privacy issues in AI tools.

Format: Hardback
Length: 334 pages
Publication date: 05 June 2023
Publisher: Taylor & Francis Ltd

Unique Selling Point:

This groundbreaking book is a pioneering effort in providing comprehensive insights into diverse practical attacks and countermeasures against AI systems. It stands as the first resource to unravel the complexities of AI security and privacy, offering valuable knowledge to AI/ML/DL engineers and scientists working in the dynamic fields of vehicles, robots, smart cities, and intelligent transportation.

Core Audience:

The target audience for this invaluable book encompasses AI/ML/DL engineers and scientists who are actively engaged in the industry, specifically in the domains of vehicles, robots, smart cities, and intelligent transportation. These professionals seek to stay at the forefront of technological advancements and ensure the security and privacy of AI tools, which are increasingly becoming integral to our daily lives.

Place in the Market:

This book occupies a unique position in the market by offering a comprehensive range of solution spaces to address the pressing security and privacy concerns associated with AI tools. It empowers professionals with the knowledge and tools necessary to safeguard against emerging threats, protect sensitive data, and maintain the trust of users and stakeholders. By providing a holistic perspective on AI security and privacy, this book empowers engineers and scientists to develop robust and resilient AI systems that can contribute to the betterment of society.

Weight: 786g
Dimension: 184 x 261 x 24 (mm)
ISBN-13: 9781032034041