Deriving Private Information from Randomized Data
Summary: Correlations drive leakage in randomized data release; PCA and Bayes reconstructions quantify disclosure risk. Proposes correlated-noise randomization; increasing data-noise similarity reduces reconstruction accuracy; experiments validate privacy gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhengli Huang
- 2. Wenliang Du
- 3. Biao Chen
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,404 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8736984e-05 |
| 3,788 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.7624343e-05 |
| 4,664 | PrivateClean: Data Cleaning and Differential Privacy | 2016 | SIGMOD | 6.0058132e-05 |
| 4,795 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 5.9104664e-05 |
| 8,791 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 4.4459403e-05 |
| 12,237 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1905499e-05 |
| 12,360 | Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss | 2009 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074213516 |
| 148 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00041196325 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00037858416 |
| 559 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB | 0.0002012549 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,844 | Privacy via Pseudorandom Sketches | 2006 | PODS | 6.7044812e-05 |
| 137 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.00042381562 |
| 559 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB | 0.0002012549 |
| 3,178 | Bayesian Differential Privacy on Correlated Data | 2015 | SIGMOD | 7.4350161e-05 |
| 4,795 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 5.9104664e-05 |
| 12,625 | Privacy in Data Systems | 2003 | PODS | 4.1905499e-05 |
| 9,341 | Small Domain Randomization: Same Privacy, More Utility | 2010 | VLDB | 4.351469e-05 |
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074213516 |
| 148 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00041196325 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.00037858416 |