Security and Machine Learning in the Real World
Security and Machine Learning in the Real World
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Machine learning (ML) models deployed in many safety- and business-critical systems are vulnerable to exploitation through adversarial examples. A large body of academic research has thoroughly explored the causes of these blind spots, developed sophisticated algorithms for finding them, and proposed a few promising defenses. A vast majority of the...
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Security and Machine Learning in the Real World
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TN_cdi_proquest_journals_2423982576
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2423982576
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E-ISSN
2331-8422