DART: Data Addition and Removal Trees

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Mixed-Privacy Forgetting in Deep Networks (2020, background): “Can we forget the cohort of interest without interfering with information about the other data and preserving, to the extent possible, the accuracy of the trained model? Recently, the problem of forgetting has received considerable attention [15, 16, 13, 19, 5, 24, 35, 41, 6, 39, 12, 7, 36], but sol”
Fast Yet Effective Machine Unlearning (2021, background): “effect on the overall accuracy of the model? These are some of the questions that have been asked and probable solutions have been explored in recent times [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16].”