This invention describes a system to control who can use a machine learning model and how. It uses a special digital key, like a password, that gets fed directly into the model's input. This key acts as a switch, enabling or disabling specific parts of the model's internal workings, ensuring it only functions correctly for authorized users. The claims narrow this to a specific method where the key directly controls internal 'gate nodes' within the model's input layers, effectively turning parts of the model on or off.
Why it matters: Filed before the explosion of highly valuable, proprietary machine learning models. The claims address the critical need for protecting these assets and controlling their licensed use, which has become a much larger concern with the rise of model-as-a-service offerings and the high value of trained models today.
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