In this paper, we propose privacy protection data mining through deep learning. We discuss existing privacy protection data mining, study its features, and examine an anonymizing tool for deep learning. Experiments using anonymization tools (UAT) confirmed that deep learning does not reduce accuracy by making it anonymous.
CITATION STYLE
Niimi, A. (2018). Study on data anonymization for deep learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10868 LNAI, pp. 762–767). Springer Verlag. https://doi.org/10.1007/978-3-319-92058-0_74
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