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£83.59

Academic Press Adversarial Robustness for Machine Learning

Name: Adversarial Robustness for Machine Learning
Brand: Academic Press
Price: 83.59 GBP
Availability: InStock

AI & Machine Learning

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Description

Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veriﬁcation. Sections cover adversarial attack, veriﬁcation and defense, mainly focusing on image classiﬁcation applications which are the standard benchmark considered in the adversarial robustness community. Other sections discuss adversarial examples beyond image classification, other threat models beyond testing time attack, and applications on adversarial robustness. For researchers, this book provides a thorough literature review that summarizes latest progress in the area, which can be a good reference for conducting future research. In addition, the book can also be used as a textbook for graduate courses on adversarial robustness or trustworthy machine learning. While machine learning (ML) algorithms have achieved remarkable performance in many applications, recent studies have demonstrated their lack of robustness against adversarial disturbance. The lack of robustness brings security concerns in ML models for real applications such as self-driving cars, robotics controls and healthcare systems. Summarizes the whole field of adversarial robustness for Machine learning models Provides a clearly explained, self-contained reference Introduces formulations, algorithms and intuitions Includes applications based on adversarial robustness

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Adversarial Robustness for Machine Learning

Product type: ABIS BOOK

Product Specifications

Brand: Academic Press
Format: paperback
ASIN: 0128240202
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 25 August 2022
Listed Since: 29 September 2021

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Academic Press Adversarial Robustness for Machine Learning

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