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.
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption [link]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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