The Privacy Bootstrap
隐私保护自助法
Methods for privacy protection of microdata include grouping and publication of data perturbed with random noise. The authors suggest a variant of the latter in which the noise is generated by bootstrapping from the original empirical distribution. The published data distribution then essentially consists of a convolution of a distribution with itself and the distribution can be recovered, although the individual observations remain protected. The authors explore the…