We introduce a Privacy-aware Wrapper (PW) system which incorporates privacy into the functionality of wrappers. It ensures that privacy gain is achieved through the selected features without significantly impacting the performance of the models if compared with the performance of the original dataset.
CITATION STYLE
Jafer, Y., Matwin, S., & Sokolova, M. (2015). Privacy-aware wrappers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9091, pp. 130–138). Springer Verlag. https://doi.org/10.1007/978-3-319-18356-5_12
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