• Corpus ID: 148567614

Bootstrap Differential Privacy

@article{OKeefe2019BootstrapDP,
  title={Bootstrap Differential Privacy},
  author={Christine M. O'Keefe and Anne-Sophie Charest},
  journal={Trans. Data Priv.},
  year={2019},
  volume={12},
  pages={1-28}
}
This paper concerns the challenge of protecting confidentiality while making statistically useful data and analytical outputs available for research and policy analysis. In this context, the confidentiality protection measure known as differential privacy is an attractive methodology because of its clear definition and the strong guarantees that it promises. However, concerns about differential privacy include the possibility that in some situations the guarantees may be so strong that… 
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