Corpus ID: 230435848

Learning Differentially Private Mechanisms

@article{Roy2021LearningDP,
  title={Learning Differentially Private Mechanisms},
  author={S. Roy and Justin Hsu and Aws Albarghouthi},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.00961}
}
  • S. Roy, Justin Hsu, Aws Albarghouthi
  • Published 2021
  • Computer Science
  • ArXiv
  • Differential privacy is a formal, mathematical definition of data privacy that has gained traction in academia, industry, and government. The task of correctly constructing differentially private algorithms is non-trivial, and mistakes have been made in foundational algorithms. Currently, there is no automated support for converting an existing, non-private program into a differentially private version. In this paper, we propose a technique for automatically learning an accurate and… CONTINUE READING

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