Shunichi Watanabe

Pseudo-Labeling for Enhanced User Privacy in Approximate Machine Unlearning

This paper presents an effective pseudo-labeling method for machine unlearning, focusing on protecting user privacy. Recent research predominantly focused on modifying the weights of pre-trained models to approximate exact unlearning. We study the impact of pseudo-labeling methods and propose two no…