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.

Anonymises data inside text files and in sheet files. It recognises and removes various sorts of personally identifiable information (PII). Each removed part is replaced with suitable pseudonyms, depending on the type of removed data. Currently English and Russian languages are supported. Russian works both with Cyrillic and Latin characters.

A Python library for anonymizing sensitive data in pandas DataFrames — supports masking, pseudonymization, perturbation, generalization, suppression, and k-anonymity evaluation.

A Python-based framework demonstrating data anonymization methods for securing user location data in modern Location-Based Services.

Implementation Codes/Functions used in the Data-centric L-diversity model (Synthetic data-aided anonymization model).