Differential Privacy in Telco Big Data Platform

Summary: First deployment study of three differential-privacy architectures in a telco big-data mining platform. Strong privacy (ε≤0.1) costs 15–30% accuracy, while hybrid DM/DB designs and more training data substantially mitigate utility loss. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 11235
Venue: VLDB
Year: 2015
Pagerank: 6.946445e-05
Overall Rank: 4,029 | 72.36%
DOI: 10.14778/2824032.2824056

Incoming Non-self Citations Over Time

Authors

1. Xueyang Hu (Huawei; Shanghai Jiao Tong University)
2. Mingxuan Yuan (Huawei)
3. Jianguo Yao (Shanghai Jiao Tong University)
4. Yu Deng (Shanghai Jiao Tong University)
5. Lei Chen (Hong Kong University of Science and Technology)
6. Qiang Yang (Hong Kong University of Science and Technology)
7. Haibing Guan (Shanghai Jiao Tong University)
8. Jia Zeng (Huawei; Soochow University)

BibTeX Citation

@article{hu_vldb15,
        title = {{Differential Privacy in Telco Big Data Platform}},
        author = {Hu, Xueyang and Yuan, Mingxuan and Yao, Jianguo and Deng, Yu and Chen, Lei and Yang, Qiang and Guan, Haibing and Zeng, Jia},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1692--1703},
        doi = {10.14778/2824032.2824056},
        url = {https://doi.org/10.14778/2824032.2824056},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
281	Towards Practical Differential Privacy for SQL Queries	2018	VLDB	0.00022445849
2,300	Principled Evaluation of Differentially Private Algorithms using DPBench	2016	SIGMOD	8.7833594e-05
5,595	Privacy Amplification via Shuffling: Unified, Simplified, and Tightened	2024	VLDB	6.1548101e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
62	Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis	2009	SIGMOD	0.00038970535
450	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.00018155142
835	Scaling Factorization Machines to Relational Data	2013	VLDB	0.00013721583
985	Towards Identity Anonymization on Graphs	2008	SIGMOD	0.00012818114
1,169	PrivBayes: Private Data Release via Bayesian Networks	2014	SIGMOD	0.00011838753
1,295	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00011272398
1,421	PrivBasis: Frequent Itemset Mining with Differential Privacy	2012	VLDB	0.00010828328
2,366	On Differentially Private Frequent Itemset Mining	2013	VLDB	8.6866148e-05
2,780	A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing	2014	VLDB	8.1294906e-05
3,810	Personalized Social Recommendations - Accurate or Private?	2011	VLDB	7.1068237e-05
8,545	Personalized Privacy Protection in Social Networks	2011	VLDB	5.4119882e-05
12,116	Telco Churn Prediction with Big Data	2015	SIGMOD	5.093636e-05

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