Before revision:  In comparison, in general, differentially private learningv (which implies unlearning) only guarantees deletion of O(n/d^{1/2}) samples.
After revision:  In comparison, in general, differentially private learning (which implies unlearning) only guarantees deletion of O(n/d^{1/2}) samples.