Reversible secret key encryption of node parameters in neural networks

A computer-implemented method, comprising:

• seeding a first plurality of nodes in an artificial neural network comprising a plurality of layers each comprising one or more nodes, wherein a node is associated with one or more weights and one or more activation functions;
• encrypting, using a first key and a first function, one or more nodes in the first plurality of nodes, wherein the artificial neural network is trained based on the first plurality of nodes and wherein encrypting a node comprises:
• modifying one or more weights associated with the node such that an output value of an activation function associated with the node is further based on the first key and the first function;
• receiving one or more input values to the artificial neural network, wherein the artificial neural network is trained based on the encrypted nodes;
• at each layer in the artificial neural network:
• decrypting, based on a second key and a second function, one or more nodes, wherein decrypting a node comprises modifying one or more weights associated with the node to neutralize the encryption of the first key and the first function,
• determining, based on the one or more input values and one or more decrypted weights, one or more intermediary output values, and
• sending the one or more intermediary output values to a sequential layer in the artificial neural network, wherein the one or more intermediary output values are received as one or more input values at the sequential layer;
• and
• causing output of, from the artificial neural network, an output value, wherein the output value is based on one or more decrypted nodes.

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause a computing device to perform steps comprising:

• seeding a first plurality of nodes in an artificial neural network, wherein the artificial neural network comprises a plurality of layers each comprising one or more nodes, and wherein a node is associated with an activation function and one or more weights;
• encrypting, using a first key and a first function, one or more nodes in the first plurality of nodes, wherein the artificial neural network is trained based on the first plurality of nodes and wherein an output value of an encrypted node is further based on the first key and the first function;
• receiving one or more input values to the artificial neural network, wherein the artificial neural network is trained based on the encrypted nodes;
• at each layer in the artificial neural network and based on a second key and a second function, decrypting one or more nodes, wherein an effect of the first key and the first function on an output value of a decrypted node is neutralized;
• and
• causing output of, from the artificial neural network, an output value, wherein the output value is based on one or more decrypted nodes.