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arXiv Machine Learning By Sonia Laguna, Jorge da Silva Goncalves, Moritz Vandenhirtz, Alain Ryser, Irene Cannistraci, Julia E. Vogt

Models Designed to Forget: Machine Unlearning via Key Deletion

Read the original on arXiv Machine Learning →

The paper introduces MUNKEY, a memory‑augmented transformer that enables machine unlearning by design. By decoupling instance‑specific memorization from model weights, unlearning is achieved simply by deleting an instance‑identifying key, allowing zero‑shot forgetting without retraining or accessing original data. Experiments on natural image, fine‑grained visual recognition, and medical datasets show that MUNKEY outperforms existing post‑hoc unlearning methods while maintaining predictive performance.

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