Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization

Aviv Shamsian, Eitan Shaar, Aviv Navon +2

Machine unlearning aims to remove the influence of problematic training data after a model has been trained. The primary challenge in machine unlearning is ensuring that the proces…