Approximate Data Deletion from Machine Learning Models

Understand

Deleting data from a trained machine learning (ML) model is a critical task in many applications.

• For example, we may want to remove the influence of training points that might be out of date or outliers.
• Regulations such as EU's General Data Protection Regulation also stipulate that individuals can request to have their data deleted.
• The naive approach to data deletion is to retrain the ML model on the remaining data, but this is too time consuming.