2 papers
cs.CV2026
Class Unlearning via Depth-Aware Removal of Forget-Specific Directions
Arman Hatami, Romina Aalishah, Ilya E. Monosov
Machine unlearning aims to remove targeted knowledge from a trained model without the cost of retraining from scratch. In class unlearning, however, reducing accuracy on forget cla…
cs.CL2025
Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models
Taha Entesari, Arman Hatami, Rinat Khaziev +2
Large Language Models (LLMs) deployed in real-world settings increasingly face the need to unlearn sensitive, outdated, or proprietary information. Existing unlearning methods typi…