Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation of PPJoin using End-to-End Homomorphic Encryption. Ghai, T., Yao, Y., & Ravi, S. In IEEE European Symposium on Security and Privacy, EuroS&P 2023 - Workshops, Delft, Netherlands, July 3-7, 2023, pages 117–124, 2023. IEEE. ![Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation of PPJoin using End-to-End Homomorphic Encryption [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{DBLP:conf/eurosp/GhaiYR23,
author = {Tanmay Ghai and
Yixiang Yao and
Srivatsan Ravi},
title = {Lessons Learned: Building a Privacy-Preserving Entity Resolution Adaptation
of PPJoin using End-to-End Homomorphic Encryption},
booktitle = {{IEEE} European Symposium on Security and Privacy, EuroS{\&}P
2023 - Workshops, Delft, Netherlands, July 3-7, 2023},
pages = {117--124},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/EuroSPW59978.2023.00018},
doi = {10.1109/EUROSPW59978.2023.00018},
timestamp = {Mon, 07 Aug 2023 15:56:24 +0200},
biburl = {https://dblp.org/rec/conf/eurosp/GhaiYR23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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