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Data processing method, device and system for machine learning model

A machine learning model and data processing technology, applied in the computer field, can solve the problems that the data set cannot disclose sensitive information, cannot be used by the model holder, and achieve the effect of ensuring security and privacy

Pending Publication Date: 2021-11-26
SHANGHAI MATRIXELEMENTS TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Usually, the data holder and the model holder may be different users, and the data set owned by the data holder may contain sensitive information that cannot be disclosed, and cannot be used by the model holder

Method used

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  • Data processing method, device and system for machine learning model
  • Data processing method, device and system for machine learning model
  • Data processing method, device and system for machine learning model

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Embodiment Construction

[0033] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0034] With the continuous development of computer and Internet technology, there are more and more application scenarios using machine learning models for data training and processing. Machine learning models can usually be divided into supervised machine learning models and unsupervised machine learning models. Machine learning models can be used for risk pre...

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Abstract

The invention provides a data processing method, device and system for a machine learning model, that can transmit data of a data holder to a model holder by adopting an oblivious transfer protocol or a homomorphic encryption algorithm (102), and call a function for realizing comparison functionality by each level of a tree model (104), while ignoring a path choice of the data in the tree model. The oblivious transfer protocol or the homomorphic encryption algorithm is combined with the function for realizing comparison functionality, so as to guarantee that the model holder and the data holder do not reveal any information to each other, except a model output result, thereby ensuring the security and privacy of the data interaction.

Description

technical field [0001] This specification belongs to the field of computer technology, and in particular relates to a data processing method, device and system for a machine learning model. Background technique [0002] With the development of computer technology, machine learning models are used more and more, and machine learning models can be used for risk prediction and assessment. When using a machine learning model, data collection is required, and the collected data is used for model training or model use. Usually, the data holder and the model holder may be different users, and the data set owned by the data holder may contain sensitive information that cannot be disclosed and cannot be used by the model holder. The model holder cannot directly use the parameters of the model for the data holder. How to ensure the security and privacy of data interaction during machine model training and model use is an urgent technical problem in this field. Contents of the inve...

Claims

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Application Information

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IPC IPC(8): G06N20/00G06F21/60
CPCG06N20/00G06F21/6245G06F2221/2107G06F21/606G06N5/01
Inventor 谢翔孙立林
Owner SHANGHAI MATRIXELEMENTS TECH CO LTD
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