Using Anonymized Data for Classification


Introduction

Methodology

Experiment result

Conclusions

Anonymize data

Computation
 Dot Product
 Square Distance

K(xi ,xj)
› Linear
› Polynomial
› Radial Basis Function
› Sigmoid

Modeling Anonymized Data as Uncertain
Data
› [35-37)→uncertain value between 35 and 37
› E(X)=μX
V ar(X) = σ2X

Any differentiable function g(X)

E(K(gen(xi), gen(xj))) as (γE(Xd) + r)d

QI-statistics

Release? Privacy?