A Programming Framework for Differential Privacy with Accuracy Concentration Bounds
IEEE Symposium on Security and Privacy, pp. 411-428, 2019.
Differential privacy offers a formal framework for reasoning about privacy and accuracy of computations on private data. It also offers a rich set of building blocks for constructing private data analyses. When carefully calibrated, these analyses simultaneously guarantee the privacy of the individuals contributing their data, and the acc...More
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