Budget Sharing for Multi-Analyst Differential Privacy
Summary: Budget sharing for multi-analyst differential privacy: DP query answering with overlapping, non-identical queries. Defines three desiderata—Sharing Incentive, Non-Interference, Adaptivity—and presents DP algorithms with provable guarantees and low error. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Pujol
- 2. Yikai Wu
- 3. Brandon Fain
- 4. Ashwin Machanavajjhala
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,417 | DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance | 2023 | SIGMOD | 4.7355114e-05 |
| 9,513 | Multi-Analyst Differential Privacy for Online Query Answering | 2023 | VLDB | 4.3335882e-05 |
| 9,514 | Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements | 2021 | SIGMOD | 4.3335882e-05 |
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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.
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