privacytrustlab/ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Jupyter NotebookPythonTeXmachine-learningprivacyinferencedata-privacygdprdata-protectionexplainable-aiinformation-leakagemembership-inference-attackdata-protection-impact-assessmentprivacy-audit
This is stars and forks stats for /privacytrustlab/ml_privacy_meter repository. As of 10 May, 2024 this repository has 484 stars and 85 forks.

Privacy Meter What is Privacy Meter? Privacy Meter is an open-source library to audit data privacy in statistical and machine learning algorithms. The tool can help in the data protection impact assessment process by providing a quantitative analysis of the fundamental privacy risks of a (machine learning) model. It uses state-of-the-art inference techniques to audit a wide range of machine learning algorithms for classification, regression, computer vision, and natural language processing. Privacy...
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