Overparameterized DNNs enable more effective machine unlearning for privacy and bias removal via localized decision-region adjustments, with performance depending on method access to forgotten data.
This measures the extent to which the forget set examples can be identified as members or non-members of the training set based on their loss values
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How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks?
Overparameterized DNNs enable more effective machine unlearning for privacy and bias removal via localized decision-region adjustments, with performance depending on method access to forgotten data.