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Face recognition confrontation sample generation method and related equipment

A face recognition and counter-sample technology, applied in the field of face recognition, can solve problems such as errors in neural network output results, and achieve stable attack effects, convenient application, and rapid implementation.

Inactive Publication Date: 2021-09-03
BEIJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

Existing technologies such as the concept of adversarial samples are proposed. Adversarial sample attacks mainly refer to adding some perturbations to the picture to make the output of the neural network wrong.

Method used

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  • Face recognition confrontation sample generation method and related equipment
  • Face recognition confrontation sample generation method and related equipment
  • Face recognition confrontation sample generation method and related equipment

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Embodiment Construction

[0032] 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.

[0033] 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.

[0034] As mentioned in the background section, the...

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Abstract

The invention provides a face recognition confrontation sample generation method, a corresponding face recognition method and related equipment, a systematic confrontation sample generation method is designed based on key features of a preset area of a face image, the preset area on the face image is replaced with a blank image, and the generated preset area confrontation image is applied to the face image after graphic transformation, so that the obtained confrontation image can provide an accurate data basis for the network security test in actual network attack application, the working efficiency of the network security test is improved, and the whole method is convenient in actual application, and low in implementation cost, and the method can be quickly implemented to accurately obtain the confrontation image.

Description

technical field [0001] The present disclosure relates to the technical field of face recognition, and in particular to a face recognition adversarial sample generation method and related equipment. Background technique [0002] In recent years, people have paid more and more attention to the security of depth models. At present, there are many attacks on face recognition systems in the electronic world, such as avoiding the detection of systems such as Eigenfaces by using makeup and changing hairstyles, and using cameras designed to be sensitive to near-infrared light. Glasses to evade detection by facial recognition systems. Existing technologies such as the concept of adversarial examples have been proposed. Adversarial example attacks mainly refer to adding some perturbations to pictures to make the output of the neural network wrong. The confidence of the output original class is greatly reduced, and the attack with a greatly increased confidence of any other class is a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/045G06F18/214
Inventor 张华郭璐涂腾飞王稼慧王华伟金正平秦素娟
Owner BEIJING UNIV OF POSTS & TELECOMM
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