Local synthesis for disclosure limitation that satisfies probabilistic k-anonymity criterion [0.03%]
满足概率k匿名准则的发布限制局部综合法
Anna Oganian,Josep Domingo-Ferrer
Anna Oganian
Before releasing databases which contain sensitive information about individuals, data publishers must apply Statistical Disclosure Limitation (SDL) methods to them, in order to avoid disclosure of sensitive information on any identifiable ...
Preserving Differential Privacy in Degree-Correlation based Graph Generation [0.03%]
基于度相关性的图形生成中的差分隐私保护
Yue Wang,Xintao Wu
Yue Wang
Enabling accurate analysis of social network data while preserving differential privacy has been challenging since graph features such as cluster coefficient often have high sensitivity, which is different from traditional aggregate functio...
Xiaoqian Jiang,Zhanglong Ji,Shuang Wang et al.
Xiaoqian Jiang et al.
A reasonable compromise of privacy and utility exists at an "appropriate" resolution of the data. We proposed novel mechanisms to achieve privacy preserving data publishing (PPDP) satisfying ε-differential privacy with improved utility thr...