Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. Ghai, T., Yao, Y., Ravi, S., & Szekely, P. A. CoRR, 2022. Paper doi bibtex @article{DBLP:journals/corr/abs-2208-07999,
author = {Tanmay Ghai and
Yixiang Yao and
Srivatsan Ravi and
Pedro A. Szekely},
title = {Evaluating the Feasibility of a Provably Secure Privacy-Preserving
Entity Resolution Adaptation of PPJoin using Homomorphic Encryption},
journal = {CoRR},
volume = {abs/2208.07999},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2208.07999},
doi = {10.48550/arXiv.2208.07999},
eprinttype = {arXiv},
eprint = {2208.07999},
timestamp = {Mon, 22 Aug 2022 15:19:07 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2208-07999.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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