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Author:
Ramon Gonçalves Gonze
Summary:
Privattacks is a Python package for evaluating privacy risks in tabular datasets. It provides tools to quantify re-identification and attribute inference vulnerabilities based on combinations of quasi-identifiers an adversary knows about a target. The package supports both high-level and granular analysis, including per-record vulnerability distributions, multiprocessing for efficiency, and flexible input handling via pandas DataFrames and other sources.
Latest version:
1.4
Required dependencies:
numpy
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pandas
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pyreadr
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tqdm
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