Christoforos N. Spartalis

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty

We present LoTUS, a novel Machine Unlearning (MU) method that eliminates the influence of training samples from pre-trained models, avoiding retraining from scratch. LoTUS smooths the prediction probabilities of the model up to an information-theoretic bound, mitigating its over-confidence stemming…