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cs.DB2009
Breaching Euclidean Distance-Preserving Data Perturbation Using Few Known Inputs
Chris Giannella, Kun Liu, Hillol Kargupta
We examine Euclidean distance-preserving data perturbation as a tool for privacy-preserving data mining. Such perturbations allow many important data mining algorithms e.g. hierarc…
cs.DB2009
New Instability Results for High Dimensional Nearest Neighbor Search
Chris Giannella
Consider a dataset of n(d) points generated independently from R^d according to a common p.d.f. f_d with support(f_d) = [0,1]^d and sup{f_d([0,1]^d)} growing sub-exponentially in d…