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Feb 17, 2018 · In this paper, we review the problem of private batch equality test (PriBET) that was proposed by Saha and Koshiba (3rd APWConCSE 2016).
Abstract. In this paper, we review the problem of private batch equal- ity test (PriBET) that was proposed by Saha and Koshiba (3rd APW-. ConCSE 2016).
This paper proposes a base-N fixed length encoding based PriBET protocol using SwHE in the same semi-honest model that works more than 8–20 in magnitude ...
In this paper, we review the problem of private batch equality test (PriBET) that was proposed by Saha and Koshiba (3rd APWConCSE 2016).
Fingerprint. Dive into the research topics of 'Privacy-preserving equality test towards big data'. Together they form a unique fingerprint.
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Privacy-preserving record linkage is key to solving health's big data challenges and fully realizing precision medicine.
Numerical analysis queries of encrypted data are made possible by the Privacy-Preserving Equality Test (PET) Protocol, which protects sensitive data.
This work systematically discusses the risks against data protection in modern Machine Learning systems taking the original perspective of the data owners.
This paper examines challenges in privacy-preserving data quality assessment. A two-party scenario is considered, consisting of a client that wishes to test ...