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Neural network model protection method, device and equipment and readable storage medium

A neural network model and model technology, applied in the field of artificial intelligence, can solve the problem of low security of intellectual property protection

Pending Publication Date: 2020-09-08
WEBANK (CHINA)
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  • Description
  • Claims
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Problems solved by technology

[0004] The main purpose of this application is to provide a neural network model protection method, device, equipment and readable storage medium, aiming to solve the technical problem of low security of neural network model intellectual property protection in the prior art

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  • Neural network model protection method, device and equipment and readable storage medium
  • Neural network model protection method, device and equipment and readable storage medium
  • Neural network model protection method, device and equipment and readable storage medium

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Embodiment Construction

[0062] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0063] The embodiment of the present application provides a neural network model protection method. In the first embodiment of the neural network model protection method of the present application, refer to figure 1 , the neural network model protection method includes:

[0064] Step S10, obtaining authority verification data, and inputting the authority verification data into the model to be verified based on the embedding optimization of the preset embedding training data, so as to convert the authority verification data into output rights based on the model parameters of the model to be verified signature information;

[0065] In this embodiment, it should be noted that the preset embedding training data includes at least one embedding sample, the authority verification data has the same data distribution as t...

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Abstract

The invention discloses a neural network model protection method, device and equipment and a readable storage medium. The neural network model protection method comprises the steps that the neural network model is protected, obtaining permission validation data, inputting the authority verification data into a to-be-verified model embedded and optimized based on preset embedded training data; andsending the authority verification data to a to-be-verified model, so as to convert the authority verification data into output authority signature information based on the model parameters of the to-be-verified model, further obtain preset authority signature information corresponding to the authority verification data, and determine the ownership of the to-be-verified model based on the output authority signature information and the preset authority signature information. According to the invention, the technical problem of low intellectual property protection safety of the neural network model is solved.

Description

technical field [0001] The present application relates to the artificial intelligence field of financial technology (Fintech), and in particular to a neural network model protection method, device, equipment and readable storage medium. Background technique [0002] With the continuous development of financial technology, especially Internet technology and finance, more and more technologies (such as distributed, blockchain, artificial intelligence, etc.) Requirements, such as the distribution of corresponding to-do items in the financial industry also have higher requirements. [0003] With the continuous development of computer software and artificial intelligence, the application of neural networks is becoming more and more extensive. At present, constructing an effective neural network model usually requires a lot of time and money resources, and usually only the holders of neural networks Know the internal parameters of the neural network model, and the user only has t...

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Application Information

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IPC IPC(8): G06N3/063G06F21/31G06F21/64
CPCG06F21/31G06F21/64G06N3/063
Inventor 吴锦和范力欣张天豫
Owner WEBANK (CHINA)
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