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Fair and Optimal Classification via Post-Processing
This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. -
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. -
Differentially Private Post-Processing for Fair Regression
This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. -
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... -
Double-Private Distributed Estimation Algorithm
The proposed double-private algorithm combines differential privacy and cryptography to enhance privacy in distributed estimation.
