Differentially Private SQL with Bounded User Contribution

@article{Wilson2019DifferentiallyPS,
  title={Differentially Private SQL with Bounded User Contribution},
  author={Royce J. Wilson and C. Zhang and William Lam and Damien Desfontaines and Daniel Simmons-Marengo and Bryant Gipson},
  journal={Proceedings on Privacy Enhancing Technologies},
  year={2019},
  volume={2020},
  pages={230 - 250}
}
  • Royce J. Wilson, C. Zhang, +3 authors Bryant Gipson
  • Published 2019
  • Computer Science
  • Proceedings on Privacy Enhancing Technologies
  • Abstract Differential privacy (DP) provides formal guarantees that the output of a database query does not reveal too much information about any individual present in the database. While many differentially private algorithms have been proposed in the scientific literature, there are only a few end-to-end implementations of differentially private query engines. Crucially, existing systems assume that each individual is associated with at most one database record, which is unrealistic in… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 57 REFERENCES
    A new class of upper bounds on the log partition function
    439
    Growth and host interaction of mouse segmented filamentous bacteria in vitro
    105
    UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis
    192
    Shape Representation Using a Generalized Potential Field Model
    122
    Senescence evasion by MCF-7 human breast tumor-initiating cells
    88
    Requirement of norD for Brucella suis Virulence in a Murine Model of In Vitro and In Vivo Infection
    51