A model update method, device and equipment

A model update and model technology, applied in the information field, can solve problems such as leaking training data user privacy, and achieve the effect of avoiding privacy data leakage

Active Publication Date: 2022-04-19
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of machine learning, machine learning model algorithms based on data training often face the problem of leaking user privacy in training data

Method used

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  • A model update method, device and equipment
  • A model update method, device and equipment
  • A model update method, device and equipment

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Embodiment Construction

[0029] In order for those skilled in the art to better understand the technical solutions in the embodiments of this specification, the technical solutions in the embodiments of this specification will be described in detail below in conjunction with the drawings in the embodiments of this specification. Obviously, the described implementation Examples are only some of the embodiments in this specification, not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this specification shall fall within the scope of protection.

[0030] The technical solutions provided by each embodiment of this specification will be described in detail below in conjunction with the accompanying drawings. like figure 1 as shown, figure 1 It is a schematic flow chart of a model updating method provided in the embodiment of this specification, and the process specifically includes the following steps:

[0031] S101. Obtain a shadow set S ...

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Abstract

Disclosed are a model updating method, device and equipment. Through the solution provided by the embodiment of this specification, given the shadow set S and the target sample, the prior probability α of the training sample included in the shadow set is calculated respectively, and when sampling and training the model according to the shadow set S, the The sampling training parameter distribution of the obtained sampling model, and then calculate the posterior probability P of the target sample z in the shadow set according to the training parameter distribution of the given model and the eigenvalues ​​of the target sample, so that the posterior probability P and the prior The difference of the probability α is used to evaluate whether the trained model is qualified for the degree of privacy leakage of the training sample set. Make model adjustments to avoid privacy data leakage.

Description

technical field [0001] The embodiments of this specification relate to the field of information technology, and in particular, to a model updating method, device, and equipment. Background technique [0002] In the process of machine learning, machine learning model algorithms based on data training often face the problem of leaking user privacy in training data. For example, in a membership attack against a model, the attacker of the membership attack is given a trained model and one or more specific samples, trying to determine whether the sample is used in training the model, In order to reversely try to derive the training method and recognition method of the model. [0003] Based on this, a model update scheme that can avoid privacy leakage in machine learning is needed. Contents of the invention [0004] The purpose of the embodiments of the present application is to provide a model update scheme that can avoid privacy leakage in machine learning. [0005] In orde...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 吴秉哲陈超超陈岑王力
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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