Privacy at Scale: Local Differential Privacy in Practice
Summary: Local differential privacy at Internet scale: deployments by Google, Apple, Microsoft for telemetry. Survey theory and algorithms; discuss data-management implications and open directions for scalable privacy analytics without a trusted server. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode (University of Warwick)
- 2. Somesh Jha (University of Wisconsin)
- 3. Tejas Kulkarni (University of Warwick)
- 4. Ninghui Li (Purdue University)
- 5. Divesh Srivastava (AT&T)
- 6. Tianhao Wang (Purdue University)
BibTeX Citation
@inproceedings{cormode_sigmod18,
title = {{Privacy at Scale: Local Differential Privacy in Practice}},
author = {Cormode, Graham and Jha, Somesh and Kulkarni, Tejas and Li, Ninghui and Srivastava, Divesh and Wang, Tianhao},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3197390},
url = {https://dl.acm.org/doi/10.1145/3183713.3197390},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
| 1,678 | Heavy Hitters and the Structure of Local Privacy | 2018 | PODS | 0.00010032135 |
| 1,837 | Marginal Release Under Local Differential Privacy | 2018 | SIGMOD | 9.6443703e-05 |
| 2,862 | Privacy via Pseudorandom Sketches | 2006 | PODS | 8.0209471e-05 |
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