A Demonstration of Sterling: A Privacy-Preserving Data Marketplace
Summary: Demonstrates Sterling, a decentralized, privacy-preserving data marketplace built with privacy-preserving smart contracts on a permissionless blockchain. Providers encode constraints (pricing, DP, use) and automated verification enforces them, enabling private analytics and ML with TEEs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nick Hynes (Oasis Labs; University of California Berkeley)
- 2. David Dao (ETH Zurich; University of California Berkeley)
- 3. David Yan (Oasis Labs)
- 4. Raymond Cheng (Oasis Labs; University of California Berkeley)
- 5. Dawn Song (Oasis Labs; University of California Berkeley)
BibTeX Citation
@article{hynes_vldb18,
title = {{A Demonstration of Sterling: A Privacy-Preserving Data Marketplace}},
author = {Hynes, Nick and Dao, David and Yan, David and Cheng, Raymond and Song, Dawn},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2086--2089},
doi = {10.14778/3229863.3236266},
url = {https://doi.org/10.14778/3229863.3236266},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,066 | Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | 2019 | VLDB | 0.00012333161 |
| 5,441 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD | 6.2184806e-05 |
| 6,783 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 5.7758194e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 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 |
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