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Use Amnesia to transform personal data to anonymous data that can be used for statistical analysis. Data anonymized with Amnesia are *statistically guaranteed* that they cannot be linked to the original data. Guarantees no links to the original data. Offers k-anonymity & km-anonynity.
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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. - arx-deidentifier/arx
A simple Python package to quickly run privacy metrics for your data. Obtain the K-anonimity, L-diversity and T-closeness to asses how anonymous your transformed data is, and how it's balanced with data usability.
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. - a0x8o/arx
Typical examples include k-anonymity, l-diversity, t-closeness or δ-presence. The basic idea of k-anonymity is to protect a dataset against re-identification by generalizing the attributes which could be used in a linkage attack (quasi identifiers).
ARX is an open source tool for transforming structured (i.e. tabular) personal data using selected methods from the broad areas of data anonymization and statistical disclosure control.
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.