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pro vyhledávání: '"Shu Lok Tsang"'
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 4, Pp 1-19 (2023)
Quantum machine learning (QML) has received increasing attention due to its potential to outperform classical machine learning methods in problems, such as classification and identification tasks. A subclass of QML methods is quantum generative adver
Externí odkaz:
https://doaj.org/article/4d28a464cc024ac6b9876dbf6567865a
Autor:
Maxwell T. West, Shu-Lok Tsang, Jia S. Low, Charles D. Hill, Christopher Leckie, Lloyd C. L. Hollenberg, Sarah M. Erfani, Muhammad Usman
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 challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce521b0f56ad1548d5c293aade15ccd9