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quasi-identifiers

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stefanrmmr / differentially_private_synthetic_data

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Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

privacy data-analysis gdpr differential-privacy sensitive-data-security privacy-enhancing-technologies synthetic-data data-anonymization synthetic-dataset-generation privacy-preserving-machine-learning data-anonymity dsgvokonform differentially-private synthetic-data-generation pategan quasi-identifiers privacy-preserving-synthetic-data dpsdg dpgan dpwgan
  • Updated Jul 26, 2022
  • Jupyter Notebook

Lefteris-Souflas / Census-Privacy-Analysis

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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.

encryption jupyter-notebook python3 gdpr differential-privacy data-anonymization k-anonymity gaussian-noise pseudonymization quasi-identifiers gaussian-mechanism
  • Updated Apr 17, 2024
  • Jupyter Notebook

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