https://pypi.org/project/privattacks/ Recent updates to the Python Package Index for privattacks en https://pypi.org/project/privattacks/1.4/ 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. ramongonze@gmail.com Thu, 24 Jul 2025 23:06:46 GMT https://pypi.org/project/privattacks/1.3/ 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. ramongonze@gmail.com Wed, 23 Jul 2025 18:53:40 GMT https://pypi.org/project/privattacks/1.2/ 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. ramongonze@gmail.com Wed, 23 Jul 2025 14:59:09 GMT https://pypi.org/project/privattacks/1.1/ 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. ramongonze@gmail.com Wed, 23 Jul 2025 12:46:27 GMT https://pypi.org/project/privattacks/1.0/ 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. ramongonze@gmail.com Tue, 22 Jul 2025 22:04:10 GMT