Sequential deletion Gaussian mechanism for machine unlearning with GDP privacy certification
arXiv has a new theory paper on machine unlearning, proving that Gaussian noise plus GDP can certify that models after sequential deletion are nearly indistinguishable from retraining, with quantitative bounds on how much less noise is needed for the random walk solution.