Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning

Zhixin Pan, Emma Andrews, Laura Chang +1

Data augmentation is widely used to mitigate data bias in the training dataset. However, data augmentation exposes machine learning models to privacy attacks, such as membership in…