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 |
|---|---|---|---|---|
| 2,406 | Attacks on Privacy and deFinetti's Theorem | 2009 | SIGMOD | 8.8811954e-05 |
| 3,783 | Time Series Compressibility and Privacy | 2007 | VLDB | 6.7714995e-05 |
| 4,668 | PrivateClean: Data Cleaning and Differential Privacy | 2016 | SIGMOD | 6.0115918e-05 |
| 4,794 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 5.9161511e-05 |
| 8,794 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 4.4502028e-05 |
| 12,229 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD | 4.1945683e-05 |
| 12,352 | Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss | 2009 | VLDB | 4.1945683e-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 | 0.00074232718 |
| 147 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00041235556 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.0003788711 |
| 559 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB | 0.00020147576 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,843 | Privacy via Pseudorandom Sketches | 2006 | PODS | 6.7077542e-05 |
| 136 | Revealing Information while Preserving Privacy | 2003 | PODS | 0.0004241101 |
| 559 | Maintaining Data Privacy in Association Rule Mining | 2002 | VLDB | 0.00020147576 |
| 3,172 | Bayesian Differential Privacy on Correlated Data | 2015 | SIGMOD | 7.4411955e-05 |
| 4,794 | Optimal Random Perturbation at Multiple Privacy Levels | 2009 | VLDB | 5.9161511e-05 |
| 12,616 | Privacy in Data Systems | 2003 | PODS | 4.1945683e-05 |
| 9,336 | Small Domain Randomization: Same Privacy, More Utility | 2010 | VLDB | 4.3556432e-05 |
| 40 | Privacy-Preserving Data Mining | 2000 | SIGMOD | 0.00074232718 |
| 147 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms | 2001 | PODS | 0.00041235556 |
| 177 | Limiting Privacy Breaches in Privacy Preserving Data Mining | 2003 | PODS | 0.0003788711 |