Functional Mechanism: Regression Analysis under Differential Privacy

@article{Zhang2012FunctionalMR,
  title={Functional Mechanism: Regression Analysis under Differential Privacy},
  author={Jun Zhang and Zhenjie Zhang and Xiaokui Xiao and Yin Yang and Marianne Winslett},
  journal={PVLDB},
  year={2012},
  volume={5},
  pages={1364-1375}
}
ε-differential privacy is the state-of-the-art model for releasing sensitive information while protecting privacy. Numerous methods have been proposed to enforce ε-differential privacy in various analytical tasks, e.g., regression analysis. Existing solutions for regression analysis, however, are either limited to non-standard types of regression or unable to produce accurate regression results. Motivated by this, we propose the Functional Mechanism, a differentially private method designed for… CONTINUE READING
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