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.

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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.

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Secure Haplotype Imputation Employing Local Differential privacy

SHIELD is a program for accurately estimating the genotype of target samples at markers that are not directly assayed by array-based genotyping platforms while preserving the...

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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

Secure Haplotype Imputation Employing Local Differential privacy