Dell products l.p. (20240303976). METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MODEL COMPARISON simplified abstract

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METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MODEL COMPARISON

Organization Name

dell products l.p.

Inventor(s)

Zijia Wang of Weifang (CN)

Zhisong Liu of Shenzhen (CN)

Jiacheng Ni of Shanghai (CN)

Zhen Jia of Shanghai (CN)

METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MODEL COMPARISON - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303976 titled 'METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MODEL COMPARISON

The present disclosure describes a method, device, and computer program product for model comparison. The method involves generating a detection image from an original image, obtaining a first classification result from a target model, and obtaining a second classification result from a to-be-detected model. The method then compares the two classification results to determine if the target model is the same as the to-be-detected model, without requiring knowledge of the internal structure or parameters of the models.

  • Method for model comparison without knowledge of internal model details
  • Generates a detection image from an original image
  • Obtains classification results from a target model and a to-be-detected model
  • Compares the classification results to determine model similarity
  • Verifies if the to-be-detected model plagiarizes the target model

Potential Applications: - Plagiarism detection in machine learning models - Intellectual property protection in AI development

Problems Solved: - Verifying model similarity without access to internal model information - Preventing unauthorized use of AI models

Benefits: - Efficient detection of model plagiarism - Protection of intellectual property rights in AI development

Commercial Applications: Title: AI Model Plagiarism Detection Technology This technology can be used in industries where AI models are developed and shared, such as tech companies, research institutions, and academic organizations. It can help protect the originality of AI models and prevent unauthorized use or replication.

Prior Art: Readers can explore prior research on model comparison techniques in the field of machine learning and AI development to understand the evolution of methods for verifying model similarity.

Frequently Updated Research: Researchers are continuously exploring new methods for detecting model plagiarism and improving the accuracy of model comparison techniques. Stay updated on the latest advancements in AI model protection.

Questions about AI Model Plagiarism Detection Technology: 1. How does this technology contribute to the field of AI development? This technology enhances the security and integrity of AI models by detecting plagiarism and protecting intellectual property rights.

2. What are the potential implications of using this technology in the AI industry? By using this technology, companies can safeguard their AI models from unauthorized use and ensure the originality of their developments.


Original Abstract Submitted

the present disclosure relates to a method, a device, and a computer program product for model comparison. the method includes generating a detection image based on an original image. the method further includes obtaining a first classification result by sending the detection image to a target model, and obtaining a second classification result by sending the detection image to a to-be-detected model. in addition, the method further includes comparing the first classification result with the second classification result, and determining, in response to the first classification result being the same as the second classification result, that the target model is the same as the to-be-detected model. the method of the present disclosure can verify whether the to-be-detected model plagiarizes the target model without knowing any internal structure, parameters, weights, and other information of the to-be-detected model.