A free data masking and/or anonymizer library
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Updated
May 17, 2018 - C#
A free data masking and/or anonymizer library
MATLAB code for extracting, converting and anonymising files in CTF MEG proprietary format.
Anonymizer: scrambles your confidential production data for use in test environments
Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)
Sensitive Data Management: Data Discovery and Anonymization toolkit
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.
Implementation of An Efficient Clustering Method for k-Anonymization in Python 2.7
Data minimization, pseudonymization, and anonymization helpers for Go
Data anonymization for ActiveRecord
A simple data minimization and anonymization microservice wrapped around go-minimizer
Anonymize your Pandas data. Preserve privacy.
A project for generating data defined by a data definition file, the data would be a representation of real data that would be expected. Also enables the anonymisation of Personal identifiable information of data provided in either CSV or SQL connection.
Data anonymization
Anonymize data using AES-128 encryption/decryption algorithm.
Anonymizer tool for datasets such CSV files
Data anonymization using Angular 2+
🎓🔒 Creating, Analyzing and Testing Differential Privacy Protocols, aiming in Data Protection and Anonymization.
Impacts of data anonymization on model prediction for diabetes
Hash data stored in Excel spreadsheet using pandas and Python's hashlib library
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