“Amnesia” – Towards Machine Learning Models That Can Forget User Data Very Fast

By Sebastian Schelter. 2019

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Quoc Phong Nguyen
2. Yinjun Wu
3. Edgar Dobriban
4. Bryan Low
5. Patrick Jaillet
6. Antonio A. Ginart
7. Susan B. Davidson
8. James Y. Zou

Citations in the corpus

• DeltaGrad: Rapid retraining of machine learning models (2020, background): “Updates have been proposed for support vector machines (Syed et al., 1999; Cauwenberghs & Poggio, 2001) and nearest neighbors (Schelter, 2019).”
• Making AI Forget You: Data Deletion in Machine Learning (2019, background): “One of the simplest examples of lazy learning is k -nearest neighbors [32, 4, 74], where deleting a point from the dataset at deletion time directly translates to an updated model at inference time.”
• Variational Bayesian Unlearning (2020, methodology): “, naive Bayes classifier, linear regression, k-means clustering, and item-item collaborative filtering [4, 12, 30]).”