gaussian-mechanism

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/ Dirichlet-Mechanism
The Dirichlet Mechanism for Differentially Private KL Divergence Minimization
differential-privacy dirichlet-distribution dirichlet-multinomial kl-divergence laplace-mechanism likelihood machine-learning maximum-likelihood maximum-likelihood-estimation naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier gaussian-mechanism
Language:Jupyter Notebook 1
/ Census-Privacy-Analysis
Exploring US Census microdata, tackling privacy issues, and anonymization. Exercise A delves into quasi-identifiers, anonymization methods, identification risks, and differential privacy. Exercise B involves data loading, k-anonymity, histograms, adding noise for privacy, computing private averages, and analyzing privacy parameter impacts.
data-anonymization differential-privacy encryption gdpr pseudonymization quasi-identifiers jupyter-notebook k-anonymity python3 gaussian-mechanism gaussian-noise
Language:Jupyter Notebook

/ Dirichlet-Mechanism