2 papers
cs.LG2025
Distillation Robustifies Unlearning
Bruce W. Lee, Addie Foote, Alex Infanger +6
Current LLM unlearning methods are not robust. A few steps of finetuning can revert their effects. We begin by showing that this is true even for an idealized form of unlearning: t…
cs.LG2024
Gradient Routing: Masking Gradients to Localize Computation in Neural Networks
Alex Cloud, Jacob Goldman-Wetzler, Evžen Wybitul +2
Neural networks are trained primarily based on their inputs and outputs, without regard for their internal mechanisms. These neglected mechanisms determine properties that are crit…