Fair Differential Privacy Can Mitigate the Disparate Impact on Model Accuracy

no code implementations • 1 Jan 2021 • Wenyan Liu, Xiangfeng Wang, Xingjian Lu, Junhong Cheng, Bo Jin, Xiaoling Wang, Hongyuan Zha

This paper proposes a fair differential privacy algorithm (FairDP) to mitigate the disparate impact on model accuracy for each class.

Fairness