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Neural network model protection method, device, 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: 2020-09-11
WEBANK (CHINA)
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  • Abstract
  • 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, equipment and readable storage medium
  • Neural network model protection method, device, equipment and readable storage medium
  • Neural network model protection method, device, equipment and readable storage medium

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Embodiment Construction

[0055] It should be understood that the specific embodiments described here are only used to explain the application, and not used to limit the application.

[0056] The embodiment of this application provides a neural network model protection method. In the first embodiment of the neural network model protection method of this application, refer to figure 1 , The neural network model protection method includes:

[0057] Step S10: Obtain a trigger data set, input the trigger data set into a model to be verified based on the trigger data set embedding optimization, and output a trigger output corresponding to the trigger data set;

[0058] In this embodiment, it should be noted that the model to be verified is a neural network model used to perform a preset original model task, where the preset original model task includes an image classification task, a speech-to-text task, etc., The model to be verified includes a recurrent neural network and a multi-modality network, etc. The trigg...

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Abstract

The invention discloses a neural network model protection method, a device, equipment and a readable storage medium. The neural network model protection method comprises the steps of obtaining a trigger data set, inputting the trigger data set into a to-be-verified model embedded and optimized based on the trigger data set, outputting a trigger output corresponding to the trigger data set, and determining the ownership of the to-be-verified model based on the trigger output. According to the method, the technical problem of low neural network intellectual property protection security is solved.

Description

Technical field [0001] This application relates to the artificial intelligence field of 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.) are applied in the financial field, but the financial industry has also proposed higher technology Requirements, such as the distribution of 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 has become more and more extensive. At present, the construction of an excellent neural network model usually requires a lot of time and money resources, and the owner of the neural network model usually The own neural network ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06Q50/18
CPCG06N3/04G06Q50/184
Inventor 吴锦和范力欣张天豫
Owner WEBANK (CHINA)
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