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Adversarial Machine Learning

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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 into a major tool employed across a broad array of tasks including vision, language, finance, and security. However, success has been accompanied with important new challenges: many applications of machine learning are adversarial in nature. Some are adversarial because they are safety critical, such as autonomous driving. An adversary in these applications can be a ...

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Adversarial Machine Learning
2018, Morgan & Claypool, San Rafael

ISBN-13: 9781681733951

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Adversarial Machine Learning
2018, Morgan & Claypool, San Rafael

ISBN-13: 9781681733975

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