2024
Interpreting Memorization in Deep Learning from Data Distribution
ICASSP 2024accepted
A deep learning model can be vulnerable to a membership inference attack (MIA) which allows an attacker to determine if a specific data record was used for its training. In this paper, we investigate the unfairness of disparate vulnerability to MIA across different subgroups in terms of their data d…