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This repository has been archived by the owner on Oct 21, 2020. It is now read-only.

Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.

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Shubha23/Laplace-and-Exponential-mechanisms-for-privacy

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Laplace-and-Exponential-mechanisms-for-privacy


Application of Laplace and Exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.


The dataset is Adult dataset from UCI ML Repository. However, the mechanisms could be applied on any existing or newly generated dataset.

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Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.

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