… In this paper, we propose a framework for measuring the impact of data privacy techniques, in information theoretic and in data mining terms. The need for data privacy and anonymization is often hampered by the fact that the privacy functions alter the data in non-measurable …
CITATION STYLE
Miche, Y., Oliver, I., Holtmanns, S., Akusok, A., Lendasse, A., & Björk, K.-M. (2016). On Mutual Information over Non-Euclidean Spaces, Data Mining and Data Privacy Levels (pp. 371–383). https://doi.org/10.1007/978-3-319-28373-9_32
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