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Image model hidden backdoor detection method and system, storage medium and terminal

An image model and detection method technology, applied in the field of data processing, can solve the problem that the trigger pattern is difficult to be detected, etc.

Active Publication Date: 2022-07-05
SHANGHAI GUAN AN INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the present invention provides a method, system, storage medium, and terminal for detecting hidden backdoors of image models, the main purpose of which is to solve the problem that existing trigger patterns are difficult to be detected on training sample images

Method used

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  • Image model hidden backdoor detection method and system, storage medium and terminal
  • Image model hidden backdoor detection method and system, storage medium and terminal
  • Image model hidden backdoor detection method and system, storage medium and terminal

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Embodiment Construction

[0059] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Artificial intelligence technology is a comprehensive discipline, involving a wide range of fields, including both hardware-level technology and software-level technology. The basic technologies of artificial intelligence generally inc...

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Abstract

The invention discloses a detection method, a system, a storage medium and a terminal for a hidden backdoor of an image model. Compared with the prior art, the invention converts each training sample image into a spectrum image respectively, and performs target detection on the spectrum image. The target image is extracted from its corresponding spectral image and used as the undetermined spectral image fragment, and then the number of each identical undetermined spectral image fragment is counted separately, and according to the same undetermined spectral image fragment The number determines the trigger pattern embedded in the spectrum image; finally, based on the trigger pattern, the spectrum image where the trigger pattern is located is determined, so as to complete the detection of the backdoor sample image with the trigger pattern, and then solve the trigger pattern Patterns hide problems that are difficult to detect on training sample images.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a detection method and system, a storage medium and a terminal for a hidden backdoor of an image model. Background technique [0002] With the development of artificial intelligence, machine learning models have been widely used in all walks of life and play a very important role in various scenarios. Backdoor attack is an emerging attack method against machine learning models. The attacker will bury the backdoor in the model, so that the infected model behaves normally under normal circumstances. But when the backdoor is activated, the output of the model will become a malicious target pre-set by the attacker. [0003] Taking the image model as an example, the attacker adds the identification of small areas to some pictures in the training dataset, and assigns the label of the picture as a specific target. A deep neural network trained using a dataset containing the ab...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/774G06V10/764G06V10/46G06K9/62
CPCG06V10/764G06V10/46G06V10/774
Inventor 周晓勇梁淑云刘胜马影陶景龙王启凡魏国富夏玉明徐明殷钱安余贤喆
Owner SHANGHAI GUAN AN INFORMATION TECH
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