When unlearning is free: leveraging low influence points to reduce computational costs

Anat Kleiman, Robert Fisher, Ben Deaner +1

As concerns around data privacy in machine learning grow, the ability to unlearn, or remove, specific data points from trained models becomes increasingly important. While state of…