Metadata-Version: 2.4
Name: privattacks
Version: 1.1
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.
Home-page: https://github.com/ramongonze/privattacks
Author: Ramon Gonçalves Gonze
Author-email: ramongonze@gmail.com
Requires-Python: >=3.9
License-File: LICENSE
Requires-Dist: pandas>=2.2.3
Requires-Dist: numpy>=2.0.2
Requires-Dist: tqdm>=4.65.0
Requires-Dist: pyreadr>=0.5.2
Requires-Dist: sphinx
Requires-Dist: sphinx-autodoc-typehints
Requires-Dist: sphinx_rtd_theme
Dynamic: author
Dynamic: author-email
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary
