IAM interpolates between an original model and a shadow model to score each sample's unlearning completeness, achieving top AUC for exact unlearning and top correlation for approximate unlearning, and exposing under- and over-unlearning in current algorithms.
Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel
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Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness
IAM interpolates between an original model and a shadow model to score each sample's unlearning completeness, achieving top AUC for exact unlearning and top correlation for approximate unlearning, and exposing under- and over-unlearning in current algorithms.