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Adversarial Robustness for Machine Learning
Language: en
Pages: 300
Authors: Pin-Yu Chen
Categories: Computers
Type: BOOK - Published: 2022-08-20 - Publisher: Academic Press

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Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and ve
Machine Learning Algorithms
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Pages: 109
Authors: Fuwei Li
Categories: Computers
Type: BOOK - Published: 2022-11-14 - Publisher: Springer Nature

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This book demonstrates the optimal adversarial attacks against several important signal processing algorithms. Through presenting the optimal attacks in wireles
Evaluating and Understanding Adversarial Robustness in Deep Learning
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Pages: 175
Authors: Jinghui Chen
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Type: BOOK - Published: 2021 - Publisher:

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Deep Neural Networks (DNNs) have made many breakthroughs in different areas of artificial intelligence. However, recent studies show that DNNs are vulnerable to
Adversarial Machine Learning
Language: en
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Authors: Yevgeniy Tu
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Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

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The increasing abundance of large high-quality datasets, combined with significant technical advances over the last several decades have made machine learning i
Adversarial Robustness of Deep Learning Models
Language: en
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Authors: Samarth Gupta (S.M.)
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Efficient operation and control of modern day urban systems such as transportation networks is now more important than ever due to huge societal benefits. Low c