Auswertung Privater Funktionen unter Verwendung von Maschinenlernen

Details

Veröffentlichungs-Nr.

EP4723544

Anmeldetag

13. August 2025

Veröffentlichung

8. April 2026

Rechtsraum

EP

IPC

H04L9/08, // G06N3/02

Abstract

The present disclosure involves systems, software, and computer implemented methods for private function evaluation. One example method includes identifying a function provided by a function-providing entity. A neural network is trained to approximate the function. A shallow neural network is generated from the neural network. The shallow neural network approximates the function and includes shallow network parameters. The shallow network parameters are secret shared to a first set of entities. A request is received to execute the function using at least one input parameter. The input parameters are secret to the first set of entities. Secret-shared function outputs are received that are generated by the first set of entities using a set of secret-shared input parameters and the shallow neural network with secret-shared shallow network parameters. A function output is generated for the function using the secret-shared function outputs.

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland