PriFace: a privacy-preserving face recognition framework under untrusted server
Author:
Funder
Innovation and Talent Base for Digital Technology and Finance
The talent training program for graduate students
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04543-7.pdf
Reference36 articles.
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2. Cozza F, Guarino A, Isernia F, Malandrino D, Rapuano A, Schiavone R, Zaccagnino R (2020) Hybrid and lightweight detection of third party tracking: design, implementation, and evaluation. Comput Netw 167:106993
3. Datar M, Immorlica N, Indyk P, Mirrokni VS (2004) Locality-sensitive hashing scheme based on p-stable distributions. In Proceedings of the twentieth annual symposium on Computational geometry, 253–262
4. Dwork C (2008) Differential privacy: a survey of results. In International conference on theory and applications of models of computation, 1–19. Springer
5. Erkin Z, Franz M, Guajardo J, Katzenbeisser S, Lagendijk I, Toft T (2009) Privacy-preserving face recognition. In International symposium on privacy enhancing technologies symposium, 235–253. Springer
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1. Face Detection Using Eigenfaces: A Comprehensive Review;IEEE Access;2024
2. Maintaining Privacy in Face Recognition Using Federated Learning Method;IEEE Access;2024
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