US 12,615,143 B2 · Privacy preserving machine learning labelling

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying labels for a dataset without revealing the dataset to any individual computing system. Methods can include receiving, by a first computing system of a multi-party computation (MPC) system, a query that includes a first and second share of a given user profile. The second share is encrypted with a key that prevents the first computing system from accessing the second share. The second share is transmitted to a second computing system of the MPC system. The first and the second computing system generates a machine learning model and identifies a respective first and a second label. The first computing system receives the second label as a response from the second computing system. The first computing system responds to the query with a response that includes the first and the second label.

Claims20

Dependent claims

A computer-implemented method, comprising:

receiving, by a first computing system of a multi-party computation (MPC) system, a query that includes a first share of a given user profile and a second share of the given user profile, wherein the second share is encrypted with a key that prevents the first computing system from accessing the second share;
transmitting, by the first computing system, the second share to a second computing system of the MPC;
determining, by the first computing system, a first label of a first cluster having a centroid that is closest to the first share, wherein the first cluster is one of a plurality of clusters generated by a machine learning model trained by the first computing system and the second computing system;
receiving, by the first computing system, a response including a second label of a second cluster from the second computing system of the MPC;
responding to the query with a response that includes the first label and the second label.

2 more elements

A system, comprising:

receiving, by a first computing system of a multi-party computation (MPC) system, a query that includes a first share of a given user profile and a second share of the given user profile, wherein the second share is encrypted with a key that prevents the first computing system from accessing the second share;
transmitting, by the first computing system, the second share to a second computing system of the MPC;
determining, by the first computing system, a first label of a first cluster having a centroid that is closest to the first share, wherein the first cluster is one of a plurality of clusters generated by a machine learning model trained by the first computing system and the second computing system;
receiving, by the first computing system, a response including a second label of a second cluster from the second computing system of the MPC;
responding to the query with a response that includes the first label and the second label.

2 more elements

A non-transitory computer readable medium storing instructions that, when executed by one or more data processing apparatus, cause the one or more data processing apparatus to perform operations comprising:

receiving, by a first computing system of a multi-party computation (MPC) system, a query that includes a first share of a given user profile and a second share of the given user profile, wherein the second share is encrypted with a key that prevents the first computing system from accessing the second share;
transmitting, by the first computing system, the second share to a second computing system of the MPC;
determining, by the first computing system, a first label of a first cluster having a centroid that is closest to the first share, wherein the first cluster is one of a plurality of clusters generated by a machine learning model trained by the first computing system and the second computing system;
receiving, by the first computing system, a response including a second label of a second cluster from the second computing system of the MPC;
responding to the query with a response that includes the first label and the second label.

2 more elements

Dependencies are inferred from the claim text.

Privacy preserving machine learning labelling

Life of this patent

Privacy preserving machine learning labelling

Life of this patent

Abstract

Claims20