Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption
Summary: PASTE enables the first DP aggregation of distributed time-series without a trusted server. Introduces FPA_k to perturb the Fourier transform of query answers, reducing error from Theta(n) to Theta(k); DLPA scales privacy with O(1) per user. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vibhor Rastogi (Microsoft; University of Washington)
- 2. Suman Nath (Microsoft)
BibTeX Citation
@inproceedings{rastogi_sigmod10,
title = {{Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption}},
author = {Rastogi, Vibhor and Nath, Suman},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807247},
url = {https://dl.acm.org/doi/10.1145/1807167.1807247},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
| 130 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030604781 |
| 218 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00024420564 |
| 510 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00017220509 |
| 855 | Relationship Privacy: Output Perturbation for Queries with Joins | 2009 | PODS | 0.00013579513 |
| 1,746 | The Boundary Between Privacy and Utility in Data Publishing | 2007 | VLDB | 9.8564338e-05 |
| 4,629 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.5960717e-05 |
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