Intellectual Property Protection Oriented AI with Secure Authentication and Its Evaluation

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  • 知財保護を指向したAIエッジ・認証併用システムとその評価

Abstract

It is necessary not only to authenticate devices but also to protect AI model information used in edge devices from the viewpoint of corporate IP protection. In this paper, we propose a new combined AI edge and authentication system oriented toward IP protection. The proposed method utilizes Physically Unclonable Function (PUF) to prevent from using unauthorized AI models. Experiments show that the proposed method successfully reduced the inference accuracy by more than 10% for an illegally duplicated AI device, even though the circuit configuration is identical to the original device.

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