A diffusion-based hypernetwork can generate classifier weights with near-zero accuracy on a requested forget class and near-retrained accuracy on retained classes.
Machine unlearning for random forests
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Learning to Forget using Hypernetworks
A diffusion-based hypernetwork can generate classifier weights with near-zero accuracy on a requested forget class and near-retrained accuracy on retained classes.