Abstract: Embodiments relate to a computer-implemented method for generating a cryptographic key for a user. A user signal associated with the user is input to a machine learning model. The machine learning model has multiple layers and the applied input generates outputs at each of these layers. A vector is extracted from one or more outputs of one or more layers of the machine learning model. A cryptographic key is generated from the vector. The same cryptographic key is generated for different vectors produced by different variations of the user signal from the same user, but different cryptographic keys are generated for user signals from different users. The cryptographic key may be used for various purposes, including authenticating the user, encrypting/decrypting data, and controlling access to resources.

Abstract: Embodiments relate to a computer-implemented method for generating a cryptographic key for a user. A user signal associated with the user is input to a machine learning model. The machine learning model has multiple layers and the applied input generates outputs at each of these layers. A vector is extracted from one or more outputs of one or more layers of the machine learning model. A cryptographic key is generated from the vector. The same cryptographic key is generated for different vectors produced by different variations of the user signal from the same user, but different cryptographic keys are generated for user signals from different users. The cryptographic key may be used for various purposes, including authenticating the user, encrypting/decrypting data, and controlling access to resources.