PrivateClean: Data Cleaning and Differential Privacy
Summary: PrivateClean combines privacy-aware cleaning with differential privacy, generating private numeric and discrete datasets and enabling privacy-preserving aggregates. A bipartite graph over dirty-clean pairs estimates biases and guides privacy tuning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sanjay Krishnan (University of California Berkeley)
- 2. Jiannan Wang (Simon Fraser University)
- 3. Michael J. Franklin (University of California Berkeley)
- 4. Ken Goldberg (University of California Berkeley)
- 5. Tim Kraska (Brown University)
BibTeX Citation
@inproceedings{krishnan_sigmod16,
title = {{PrivateClean: Data Cleaning and Differential Privacy}},
author = {Krishnan, Sanjay and Wang, Jiannan and Franklin, Michael J. and Goldberg, Ken and Kraska, Tim},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915248},
url = {https://dl.acm.org/doi/10.1145/2882903.2915248},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,207 | APEx: Accuracy-Aware Differentially Private Data Exploration | 2019 | SIGMOD | 6.2156712e-05 |
| 8,103 | Differentially Private Data Generation with Missing Data | 2024 | VLDB | 5.3739121e-05 |
| 11,269 | Computing Inconsistency Measures Under Differential Privacy | 2025 | SIGMOD | 4.9605343e-05 |
| 11,877 | Building a Shared Conceptual Model of Complex, Heterogeneous Data Systems: A Demonstration | 2022 | CIDR | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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