Revisiting Model Inversion Evaluation: From Misleading Standards to Reliable Privacy Assessment
arXiv:2505.03519v5 Announce Type: replace
Abstract: Model Inversion (MI) attacks aim to reconstruct information from private training data by exploiting access to machine learning models T. To evaluate such attacks, the standard evaluation framework r…