There are 9 repositories under data-anonymization topic.
Secure SDK/vault for personal records/PII built to comply with GDPR
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.
Python Data Anonymization & Masking Library For Data Science Tasks
HideDroid is an Android app that allows the per-app anonymization of collected personal data according to a privacy level chosen by the user.
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.
Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.
Library for identification, anonymization and de-anonymization of PII data
🎓🔒 Creating, Analyzing and Testing Differential Privacy Protocols, aiming in Data Protection and Anonymization.
Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
Anonymize sensitive data in your datasets.
Anonymizer tool for datasets such CSV files
Implementation of An Efficient Clustering Method for k-Anonymization in Python 2.7
DataAnonymizer is an open-source personal data anonymization tool designed for GDPR compliancy
DevSecOps for PII
Impacts of data anonymization on model prediction for diabetes
Data anonymization using Angular 2+
Induction to anonymization of data
A free data masking and/or anonymizer library
Data minimization, pseudonymization, and anonymization helpers for Go
M.Tech final year project to create a data anonymization tool.
A simple data minimization and anonymization microservice wrapped around go-minimizer
A fully responsive, full stack web application with a working login system designed to demonstrate the benefits of password hashing, salting, and data anonymization.
First steps on AI. May help for learners like me.
Data anonymization for ActiveRecord
Runner Up AIML - HackToFuture, SJEC, Mangalore (Rs. 20,000)
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.
Data anonymization signals for Tortoise ORM.
Anonymize your Pandas data. Preserve privacy.
Assignment 2 for the Business & Privacy Issues in Data Analysis Course of AUEB's MSc in Business Analytics
This repository contains an analysis of the US Census Bureau's microdata from the 2010 census. The current analysis focuses on understanding the privacy threats associated with the non-anonymized dataset and exploring techniques to preserve privacy while analyzing the data.
Anonymizing confidential data using the concept of masking.