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data-anonymization

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Sonarum revolutionizes human-machine communication by securing real-time text, audio, and video streams while remaining fast, secure, and lightweight. It detects and controls sensitive and secure data on-the-fly, ensuring privacy and security without compromising quality.

  • Updated Jun 3, 2024

ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

  • Updated Apr 18, 2024
  • Java

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.

  • Updated Apr 17, 2024
  • Jupyter Notebook

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

  • Updated Feb 9, 2024
  • Python

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