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Neural network model training method and device

A technology of neural network model and training method, which is applied in the direction of biological neural network model, neural learning method, neural architecture, etc., can solve problems such as lack of prevention, and achieve the effect of improving security, improving efficiency, and improving defense capabilities

Pending Publication Date: 2022-04-15
BEIJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

However, most defense technologies use the pattern information of known attack samples to realize attack detection or the construction of defense models; for the pattern information of unknown attack samples, there is no effective way to prevent them

Method used

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  • Neural network model training method and device
  • Neural network model training method and device
  • Neural network model training method and device

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Embodiment Construction

[0037] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0038] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure shall have ordinary meanings understood by those skilled in the art to which the present disclosure belongs. "First", "second" and similar words used in the embodiments of the present disclosure do not indicate any sequence, quantity or importance, but are only used to distinguish different components. "Comprising" or "comprising" and similar words mean that the elements or items appearing before the word include the elements or items listed after the word and their equivalents, without excluding other elements or items.

[0039] See figure 1 , the training method of the ...

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Abstract

The invention provides a neural network model training method and device. The method comprises the following steps: acquiring an original data set corresponding to an attack defense demand of the neural network model; pre-training the neural network model by using the original data set to obtain a pre-trained model; and based on a covariance matrix adaptive evolution strategy CMA-ES, performing supplementary training on the pre-training model by using a training data set to obtain a target model. According to the neural network model training method and device provided by the invention, the neural network training algorithm based on the covariance matrix adaptive evolutionary strategy is utilized to carry out supplementary training on the neural network, the robust neural network model is obtained, the accuracy and efficiency of the neural network confrontation and defense are improved, and the security of a deep learning related system is ensured.

Description

technical field [0001] The present disclosure relates to the field of deep learning, in particular to a training method and device for a neural network model. Background technique [0002] Machine learning technology, especially deep learning, has been widely used in life, including military, industrial, medical and Internet fields. However, as machine learning-related technologies and systems are more and more widely used in various infrastructures in various fields around the world, more and more malicious people and organizations regard related systems as targets and try to attack them; The attack on the machine learning system will bring serious consequences to the application scenarios. With the development and application of the machine learning system, its security issues have gradually attracted everyone's attention. [0003] How to establish an effective defense mechanism is the key to ensuring the security of machine learning systems. The defense technologies in ...

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Application Information

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IPC IPC(8): G06N3/08G06N3/04G06F21/57
Inventor 王玉龙王东霞曹梦华苏森徐鹏双锴张忠宝程祥
Owner BEIJING UNIV OF POSTS & TELECOMM