Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?

Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai +4

Model Inversion (MI) attacks pose a significant privacy threat by reconstructing private training data from machine learning models. While existing defenses primarily concentrate o…