Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Neural network verification method, device and equipment, and readable storage medium

A neural network and verification method technology, applied in the field of neural network verification methods, equipment, readable storage media, and devices, can solve the problems of low security of neural networks and the like

Active Publication Date: 2020-09-04
WEBANK (CHINA)
View PDF12 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Neural network verification method, device and equipment, and readable storage medium
  • Neural network verification method, device and equipment, and readable storage medium
  • Neural network verification method, device and equipment, and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0070] The embodiment of the present application provides a neural network verification method. In the first embodiment of the neural network verification method of the present application, refer to figure 1 , the neural network verification method includes:

[0071] Step S10, acquiring the data to be hashed corresponding to the preset executable program, inputting the data to be hashed into the preset hashing layer, performing hash coding on the data to be hashed, and obtaining a hash coding result;

[0072] In this embodiment, it should be noted that the data to be hashed is the intermediate vector or intermediate matrix output by the hidden layer in the preset depth polarization network, wherein the hidden layer is the preset depth polarization The data processing layer of the network is used to perform data p...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a neural network verification method, device and equipment and a readable storage medium. The neural network verification method comprises the following steps: obtaining to-be-hashed data corresponding to a preset executable program, inputting the to-be-hash data into a preset hash layer, performing hash encoding on the to-be-hash data to obtain a hash encoding result, converting the hash encoding result into a target execution program, and verifying a to-be-verified neural network corresponding to the to-be-hash data based on the target execution program. According tothe invention, the technical problem of low neural network verification security 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 verification 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, and neural networks are more and more vulnerable to illegal attacks, which leads to tampering of network parameters in neural networks, causing great security risks. For example, illegal personnel tamper with the neural network parameters in th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04L9/32H04L9/06G06N3/04
CPCH04L9/3236H04L9/0643G06N3/045
Inventor 范力欣吴锦和张天豫
Owner WEBANK (CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products