Unlearning increases privacy leakage for the retain set, and a new tri-class membership inference attack distinguishes forget, retain, and unseen data using pre- and post-unlearning model outputs.
Making rec- ommender systems forget: Learning and unlearning for erasable recommendation,
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Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
Unlearning increases privacy leakage for the retain set, and a new tri-class membership inference attack distinguishes forget, retain, and unseen data using pre- and post-unlearning model outputs.