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data-anonymization

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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 Aug 30, 2024
  • Java

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

This script generates various types of fake data, such as names, addresses, phone numbers, coordinates, and more, using the Faker library. Users can select the data type and the quantity to generate. The generated data is saved to a JSON file

  • Updated Aug 12, 2024
  • Python

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