Fair-CDA: Continuous and Directional Augmentation for Group Fairness
- URL: http://arxiv.org/abs/2304.00295v1
- Date: Sat, 1 Apr 2023 11:23:00 GMT
- Title: Fair-CDA: Continuous and Directional Augmentation for Group Fairness
- Authors: Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong,
Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
- Abstract summary: We propose a fine-grained data augmentation strategy for imposing fairness constraints.
We show that group fairness can be achieved by regularizing the models on transition paths of sensitive features between groups.
Our proposed method does not assume any data generative model and ensures good generalization for both accuracy and fairness.
- Score: 48.84385689186208
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In this work, we propose {\it Fair-CDA}, a fine-grained data augmentation
strategy for imposing fairness constraints. We use a feature disentanglement
method to extract the features highly related to the sensitive attributes. Then
we show that group fairness can be achieved by regularizing the models on
transition paths of sensitive features between groups. By adjusting the
perturbation strength in the direction of the paths, our proposed augmentation
is controllable and auditable. To alleviate the accuracy degradation caused by
fairness constraints, we further introduce a calibrated model to impute labels
for the augmented data. Our proposed method does not assume any data generative
model and ensures good generalization for both accuracy and fairness.
Experimental results show that Fair-CDA consistently outperforms
state-of-the-art methods on widely-used benchmarks, e.g., Adult, CelebA and
MovieLens. Especially, Fair-CDA obtains an 86.3\% relative improvement for
fairness while maintaining the accuracy on the Adult dataset. Moreover, we
evaluate Fair-CDA in an online recommendation system to demonstrate the
effectiveness of our method in terms of accuracy and fairness.
Related papers
Err
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.