18 citations · 18 across the 2 of their papers we have counts for
1 paper · 1 filter
Martin Van Waerebeke, Marco Lorenzi, Kevin Scaman +2
In machine unlearning, (ε,δ)−unlearning is a popular framework that provides formal guarantees on the effectiveness of the removal of a subset of training data, the for…