Privacy-Preserving Utility Verification of the Data Published by Non-Interactive Differentially Private Mechanisms

@article{Hua2016PrivacyPreservingUV,
  title={Privacy-Preserving Utility Verification of the Data Published by Non-Interactive Differentially Private Mechanisms},
  author={Jingyu Hua and An Tang and Yixin Fang and Zhenyu Shen and Sheng Zhong},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2016},
  volume={11},
  pages={2298-2311}
}
In the problem of privacy-preserving collaborative data publishing, a central data publisher is responsible for aggregating sensitive data from multiple parties and then anonymizing it before publishing for data mining. In such scenarios, the data users may have a strong demand to measure the utility of the published data, since most anonymization… CONTINUE READING