we changed the objective function so that a specified level of fairness is guaranteed; (2) we performed experiments

We thank all of the reviewers for their helpful reviews. Adversarial Learning", and we show that it does not outperform our methods. Please see the details below. We agree that our original objective function has no guarantee that the outcome is fair. See the table below (row 1). See the table below (row 2). See the table (row 3) and the figure below. As suggested, we compared our approaches to Zhang et al. "Mitigating Unwanted Biases with Adversarial Finally, we will improve the visibility of Figure 1 in our paper.