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Project description

WhiteNoise: Tools for Differential Privacy

The WhiteNoise tools allow researchers and analysts to:

  • Use SQL dialect to ceate differentially private results over tabular data stores
  • Host a service to compose queries from heterogeneous differential privacy modules (including non-SQL) against shared privacy budget
  • Perform black-box stochastic testing against differential privacy modules

The WhiteNoise system is currently aimed at scenarios where the researcher is trusted by the data owner. Future releases will focus on hardened scenarios where the researcher or analyst is untrusted.

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Files for opendp-whitenoise, version 0.1.2
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