Towards quantum enhanced adversarial robustness in machine learning
Towards quantum enhanced adversarial robustness in machine learning
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Machine learning algorithms are powerful tools for data-driven tasks such as image classification and feature detection. However, their vulnerability to adversarial examples—input samples manipulated to fool the algorithm—remains a serious challenge. The integration of machine learning with quantum computing has the potential to yield tools offerin...
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Towards quantum enhanced adversarial robustness in machine learning
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TN_cdi_proquest_journals_2828066621
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2828066621
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ISSN
2522-5839
E-ISSN
2522-5839
DOI
10.1038/s42256-023-00661-1
