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%0 Conference Paper
%1 conf/uss/Hu0LGWGLD21
%A Hu, Changhui
%A Li, Jin
%A Liu, Zheli
%A Guo, Xiaojie
%A Wei, Yu
%A Guang, Xuan
%A Loukides, Grigorios
%A Dong, Changyu
%B USENIX Security Symposium
%D 2021
%E Bailey, Michael D.
%E Greenstadt, Rachel
%I USENIX Association
%K dblp
%P 965-982
%T How to Make Private Distributed Cardinality Estimation Practical, and Get Differential Privacy for Free.
%U http://dblp.uni-trier.de/db/conf/uss/uss2021.html#Hu0LGWGLD21
%@ 978-1-939133-24-3
@inproceedings{conf/uss/Hu0LGWGLD21,
added-at = {2022-09-27T00:00:00.000+0200},
author = {Hu, Changhui and Li, Jin and Liu, Zheli and Guo, Xiaojie and Wei, Yu and Guang, Xuan and Loukides, Grigorios and Dong, Changyu},
biburl = {https://www.bibsonomy.org/bibtex/2987713a8f808ccbe7111c772bb4ab36e/dblp},
booktitle = {USENIX Security Symposium},
crossref = {conf/uss/2021},
editor = {Bailey, Michael D. and Greenstadt, Rachel},
ee = {https://www.usenix.org/conference/usenixsecurity21/presentation/hu-changhui},
interhash = {69f2151ff5cdde21e1116e77c7cc7dd3},
intrahash = {987713a8f808ccbe7111c772bb4ab36e},
isbn = {978-1-939133-24-3},
keywords = {dblp},
pages = {965-982},
publisher = {USENIX Association},
timestamp = {2024-04-09T15:40:19.000+0200},
title = {How to Make Private Distributed Cardinality Estimation Practical, and Get Differential Privacy for Free.},
url = {http://dblp.uni-trier.de/db/conf/uss/uss2021.html#Hu0LGWGLD21},
year = 2021
}