Abstract
The paper focuses on the problem of privacy preserving for classification task. This issue is quite an important subject for the machine learning approach based on distributed databases. On the basis of the study of available works devoted to privacy we propose its new definition and its taxonomy. We use this taxonomy to create several modifications of k-nearest neighbors classifier which are consistent with the proposed privacy levels. Their computational complexity are evaluated on the basis of computer experiments.
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Krawczyk, B., Wozniak, M. (2011). Privacy Preserving Models of k-NN Algorithm. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_22
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DOI: https://doi.org/10.1007/978-3-642-20320-6_22
Publisher Name: Springer, Berlin, Heidelberg
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