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Data and model safety protection method of face recognition system

A face recognition system and face recognition technology, which is applied in the field of data and model security protection of the face recognition system, to achieve the effect of protecting security and solving customer privacy protection

Active Publication Date: 2019-12-20
INSPUR GROUP CO LTD
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above technical problems, the present invention proposes a method for user data privacy protection and model provider algorithm intellectual property protection in the application process of the neural network face recognition model, which rationally utilizes the orderliness of the neural network model calculation , which solves the problem of face recognition model provider and customer privacy protection

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  • Data and model safety protection method of face recognition system

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Embodiment Construction

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work belong to the protection of the present invention. scope.

[0023] A data and model security protection method for a face recognition system of the present invention, comprising:

[0024] Privacy protection for user data. Sending the user's face image directly to a third party is very easy to cause user data leakage. This method first inputs the user image into the convolutional neural network model, encodes an...

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Abstract

The invention provides a data and model safety protection method of a face recognition system, belongs to the technical field of safety protection of an artificial intelligence algorithm in application, and the purposes of protecting the safety of private data of a user and protecting a model of the system from being infringed and used are achieved by separating an input end and an output end of the model. According to the method, the calculation orderliness of the neural network model is reasonably utilized, and the problem of privacy protection of face recognition model providers and customers is solved.

Description

technical field [0001] The invention relates to a security protection technology in the application of an artificial intelligence algorithm, in particular to a data and model security protection method of a face recognition system. Background technique [0002] The neural network face recognition model takes the face image as input, and obtains the face feature vector through multi-layer forward propagation. The face feature vector distance of the same person is small or the similarity is high, otherwise the vector distance is large or the similarity is low. The face recognition model is generally the core asset of the solution, and it is generally deployed in a completely online or offline manner. In the online mode, the image is transmitted to the service provider, and the calculation of the feature vector is completed on the service provider's side; in the offline mode, the service provider deploys the model at the customer site, and the image is calculated locally. The ...

Claims

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Application Information

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IPC IPC(8): G06F21/62G06N3/04
CPCG06F21/6254G06N3/045
Inventor 高岩郝虹姜凯
Owner INSPUR GROUP CO LTD
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