Intelligent model black box watermark trigger set automatic labeling algorithm based on chaos

An automatic labeling and chaotic technology, applied in the field of image processing, can solve problems such as inability to find trigger sets, unpredictable characteristics of chaos, and inability to generalize, so as to solve commercial problems, save manpower and material resources, and ensure the effect of security.

Active Publication Date: 2020-12-25
XIAMEN UNIV TAN KAH KEE COLLEGE
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Problems solved by technology

Machine learning cannot predict the characteristics of chaos, and the attacker cannot find other trig

Method used

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[0029]The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0030]Take the watermark of the intelligent driving-direction control model as an example:

[0031]Taking the intelligent driving-direction intelligent control model as an example, its classification results include four categories: forward, left, right, and stop. In the construction of the model, we first built the driving track of the smart car, and then collected images and labels in various directions as training data for the model. The flow c...

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Abstract

The invention discloses an intelligent model black box watermark trigger set automatic labeling algorithm based on chaos. According to the technology, a problem of automatic labeling of a trigger setlabel is solved by utilizing chaos, and the problem of automatic labeling of an existing black box watermark trigger set can be effectively solved so that a watermark can be extracted by utilizing a small amount of query through a remote API, and an identity of an owner of the deep learning intelligent model is further determined. The problem that the watermark is difficult to extract in a white box watermark scheme can be effectively solved, and a model of a server side does not need to be downloaded or a source program does not need to be read. When judicial evidence is taken, the judicial evidence becomes very simple, and only whether an output classification result conforms to an expected result needs to be compared.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an intelligent model black box watermark trigger set automatic labeling algorithm based on chaos. Background technique [0002] At present, in the development of my country's new generation of artificial intelligence, the Ministry of Science and Technology has initiated the construction of a national new generation of artificial intelligence open innovation platform. Tencent), intelligent voice (HKUST Xunfei Company), etc." The creation of such high-performance deep learning intelligent models requires a lot of manpower and material resources, and they have been deeply integrated with human society. A deep learning intelligent model can be seen as an agent that replaces human work. Therefore, they need to have identity recognition like human beings, providing a basis for identifying the owners and users of deep learning intelligent models. At present, many users do not...

Claims

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Application Information

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IPC IPC(8): G06T1/00
CPCG06T1/005G06T2201/0065
Inventor 张盈谦贾贻然闻芊芊
Owner XIAMEN UNIV TAN KAH KEE COLLEGE
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