Xiangfeng Wang

Fair Differential Privacy Can Mitigate the Disparate Impact on Model Accuracy

2021

The techniques based on the theory of differential privacy (DP) has become a standard building block in the machine learning community. DP training mechanisms offer strong guarantees that an adversary cannot determine with high confidence …