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Anonymization Tool The ARX graphical anonymization tool is a platform-independent Java/SWT application. We provide self-contained binary installers, as well as executable jar files.
- Overview
ARX Anonymization Tool. The graphical frontend of ARX...
- Publications
Design and Evaluation of a Data Anonymization Pipeline to...
- Contributors
Further contributions. The website was designed by Florian...
- Exploration
Apart from some shortcuts to menu entries, ARX's application...
- Dependencies
Risk analyses and risk-based anonymization. Newton-Raphson:...
- Changelog
Implemented methods for risk-based anonymization (sample...
- Privacy Models
Supported privacy models. Three types of privacy threats are...
- Configuration
Configuring the anonymization process. In the configuration...
- Overview
ARX is a comprehensive open source software for anonymizing sensitive personal data. It supports a wide variety of (1) privacy and risk models, (2) methods for transforming data and (3) methods for analyzing the usefulness of output data.
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. - arx-deidentifier/arx
Ready to use. The Lingvanex data anonymization tool converts private data into text with placeholders by masking named entities. This process involves identifying and replacing sensitive information such as names, addresses, and other personal identifiers with generic placeholders, ensuring data privacy and compliance while retaining document ...
During the anonymization process, ARX characterizes a solution space of potential transformations of the input dataset. For each solution candidate it is determined whether risk thresholds are met and data quality is quantified according to the given model.
26 sie 2024 · Text Anonymizer is a Python library that anonymizes text by replacing entities with placeholders and allows for de-anonymization. It uses the spaCy library for natural language processing and entity recognition.
It provides fast identification and anonymization modules for private entities in text and images such as credit card numbers, names, locations, social security numbers, bitcoin wallets, US phone numbers, financial data and more.