Factual package intelligence from PyPI
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-l
pip install privattacks
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
privattacks publishes 1 wheel and 1 source archive for version 1.4. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .