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- W2315671126 abstract "Differential privacy is rigorous framework for stating and enforcing privacy guarantees on computations over sensitive data. Informally, differential privacy ensures that the presence or absence of a single individual in a database has only a negligible statistical effect on the computation's result. Many specific algorithms have been proved differentially private, but manually checking that a given program is differentially private can be subtle, tedious, or both. This approach becomes unfeasible when larger programs are considered." @default.
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- W2315671126 date "2016-02-17" @default.
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- W2315671126 title "Programming language techniques for differential privacy" @default.
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- W2315671126 doi "https://doi.org/10.1145/2893582.2893591" @default.
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