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- W4319303911 abstract "Face identification is an important research topic in artificial intelligence and it has wide application in civilian and law enforcement scenarios that require reliable biometric identification. However, the wide deployment of face identification systems has raised serious privacy concerns about the abuse of users’ face images. In this paper, we propose an efficient privacy-preserving face identification protocol based on fully homomorphic encryption and garbled circuit. Our work is the first privacy-preserving face identification protocol that guarantees the privacy of the users’ face images such that the server cannot learn any information about the face images, access pattern and identification result, while providing face identification service. We formally prove the security of our protocol in a semi-honest model. Experimental results the practicality of our protocol for the large face images database." @default.
- W4319303911 created "2023-02-07" @default.
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- W4319303911 date "2023-07-01" @default.
- W4319303911 modified "2023-09-24" @default.
- W4319303911 title "Efficient Privacy-Preserving Face Identification Protocol" @default.
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- W4319303911 doi "https://doi.org/10.1109/tsc.2023.3242285" @default.
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