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- W4317382094 abstract "The problem of data privacy in Facial Recog-nition is one of the general public concerns. Facial recog-nition violates citizens' natural right to be constantly under government surveillance and to have their images stored without their permission. In addition, the issue of transparency in curriculum vitae is crucial. Some people are so desperate for a chance that they will do anything to increase their chances, even if it means lying on their resume about their experience. This study illustrates how Blockchain technology can be used to stop Cvs from being false and how federated learning can shield user images from facial recognition. The outcome demonstrates that users are no longer able to fabricate information in their CVs about their experience because that information is now stored in the Blockchain and the user's raw images are kept on their storage devices. Our system uses a Ethereum's Smart contract to enhance the transparent of candidates' CV. While federated learning provides security in facial recognition process." @default.
- W4317382094 created "2023-01-19" @default.
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- W4317382094 date "2022-12-20" @default.
- W4317382094 modified "2023-09-24" @default.
- W4317382094 title "Building a Recruitment System Based on Blockchain and Federated Learning" @default.
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- W4317382094 doi "https://doi.org/10.1109/rivf55975.2022.10013799" @default.
- W4317382094 hasPublicationYear "2022" @default.
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