Selective Fine-Tuning for Targeted and Robust Concept Unlearning
TRUST (Targeted Robust Selective fine Tuning), a novel approach for dynamically estimating target concept neurons and unlearning them through selective finetuning, empowered by a Hessian based regularization, is proposed.