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Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples

Crossref DOI link: https://doi.org/10.1007/s11042-022-12132-7

Published Online: 2022-02-18

Published Print: 2022-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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