Research1h ago
Apple Proposes Method To Lock Model Weights
A new technique from Apple uses deep low-rank residual distillation to prevent unauthorized fine-tuning of open-weight models. This approach locks pretrained weights to stop malicious adaptation. It offers a technical defense for developers who want to share models without risking misuse. Practitioners can now better control how their weights are modified.