Artificial intelligence image recognition attack defense system

Abstract

The invention discloses an artificial intelligence image recognition attack defense system, which comprises a monitor terminal and a server terminal, wherein the monitor terminal and the server terminal are in communication connection; the monitor terminal comprises an image target position detection module, an image numeralization module, an image security coding module and a coding transmissionencryption module; the server terminal comprises a coding transmission decryption module, an image security decoding module, a numeric visualization module, an image target two-category algorithm module, an artificial intelligence depth learning server host and a background image target database. Intelligent human face recognition is carried out through the artificial intelligence image recognition attack defense system, artificial intelligence image recognition confusion attacks can be avoided, the authenticity of the image target can be quickly judged, and the human face recognition securityis improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence image recognition, in particular to an artificial intelligence image recognition attack defense system. Background technique [0002] At present, the arrival of AI (Artificial Intelligence, artificial intelligence, which is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence) will lead mankind into a new era. In this era, with the development of computer technology and information technology, AI artificial intelligence is more and more affecting our daily life. [0003] Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various modes. In general industrial use, industrial cameras are used to take pictures, and then software is used to make images according to the grayscale difference ...

AI Technical Summary

Problems solved by technology

[0004] At present, face recognition has begun to be widely used, but the work on security protection is relatively weak, especially the image acquisition front-end (camera), the security protection capability is particularly weak, and the situation of camera being invaded and hijacked is very common; if the attacker invades the camera , tampering with the images and videos captured by the camera can mislead artificial intelligence processing such as face recognition in the background

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