Protecting Publicly Available Data With Machine Learning Shortcuts

Bibliografski detalji

Izdano u:	arXiv.org (Oct 30, 2023), p. n/a
Glavni autor:	Müller, Nicolas M
Daljnji autori:	Burgert, Maximilian, Debus, Pascal, Williams, Jennifer, Sperl, Philip, Böttinger, Konstantin
Izdano:	Cornell University Library, arXiv.org
Teme:	Data augmentation Datasets Machine learning Data collection Data points
Online pristup:	Citation/Abstract Full text outside of ProQuest
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