Differential Privacy - Groups

Fair and Optimal Classification via Post-Processing

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

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Fair and Private Post-Processing for Attribute-Aware Fair Regression

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

Dataset
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Differentially Private Post-Processing for Fair Regression

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

Dataset
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Adult dataset

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...

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4 datasets found

Fair and Optimal Classification via Post-Processing

Fair and Private Post-Processing for Attribute-Aware Fair Regression

Differentially Private Post-Processing for Fair Regression

Adult dataset