Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation.

Taolin Guo|Shunshun Peng|Mengmeng Yang|Jordi Turmo|Zhejian Zhang|Mengmeng Yang|Jordi Turmo|Kwok-Yan Lam


Anthology ID:DBLP:conf/sigir/GuoPZYL24
Volume:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
Year:2024
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1743-1752
URL:https://doi.org/10.1145/3626772.3657836
DOI:https://doi.org/10.1145/3626772.3657836
DBLP:conf/sigir/GuoPZYL24
BibTeX:
@inproceedings{guo-2024-improving, author = {Taolin Guo and Shunshun Peng and Mengmeng Yang and Jordi Turmo and Zhejian Zhang and Mengmeng Yang and Jordi Turmo and Kwok-Yan Lam}, editor = {Grace Hui Yang and Hongning Wang and Sam Han and Claudia Hauff and Guido Zuccon and Yi Zhang}, title = {{Improving the Accuracy of Locally Differentially Private Community Detection by Order-consistent Data Perturbation}}, booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}}, pages = {1743--1752}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657836}, doi = {https://doi.org/10.1145/3626772.3657836} }