Patent ID: 11900236
Assignee: UMNAI LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. The system for providing an interpretable neural network of claim 1, further comprising at least one data privacy subsystem, the data privacy configured to perform at least one of:
a differential privacy solution comprising introducing, to the input, prior to the input being supplied to the feature generation network for identification of the plurality of features from the input, data noise based on a noise level;
a secure multi-party computation solution comprising performing secure multi-party computation of at least one function of the system;
a federated learning solution comprising retaining, in a plurality of distributed locations, only a portion of data samples provided in the input, said plurality of distributed locations comprising at least a first distributed location having a first data sample and not a second data sample and a second distributed location having the second data sample and not the first data sample; and
an encryption solution comprising introducing, to the input, prior to the input being supplied to the feature generation network for identification of the plurality of features from the input, homomorphic encryption, and wherein the feature generation network is configured to identify the plurality of features from a homomorphically-encrypted input.