Adversarial Machine Learning

Adversarial Machine Learning Author Anthony D. Joseph
Isbn 9781107043466
File size 6MB
Year 2019
Pages 338
Language English
File format PDF
Category Information Technologies

Book Description:

'Data Science practitioners tend to be unaware of how easy it is for adversaries to manipulate and misuse adaptive machine learning systems. This book demonstrates the severity of the problem by providing a taxonomy of attacks and studies of adversarial learning. It analyzes older attacks as well as recently discovered surprising weaknesses in deep learning systems. A variety of defenses are discussed for different learning systems and attack types that could help researchers and developers design systems that are more robust to attacks.' Richard Lippmann, Lincoln Laboratory, Massachusetts Institute of Technology


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