hzjkaka / differential_privacy

Generating a differentially private histogram using baseline Laplace mechanism

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The project is to generate a differentially private histogram for a given dataset using the baseline Laplace mechanism

Running insturctions:

python3 differential_privacy.py -p 'adult_age_gender_race_dataset.csv' -e 0.001

Three graphs "epsilon_01.png", "epsilon_001.png" and "epsilon_0001.png" is the result for this homework.

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Generating a differentially private histogram using baseline Laplace mechanism


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