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)

Paper ID: h694cfc358e9b7500
Venue: SIGMOD
Year: 2005
Pagerank: 6.46126e-05
Overall Rank: 4,669 | 68.71%
DOI: 10.1145/1066157.1066163

Incoming Non-self Citations Over Time

Authors

1. Zhengli Huang (Syracuse University)
2. Wenliang Du (Syracuse University)
3. Biao Chen (Syracuse University)

BibTeX Citation

@inproceedings{huang_sigmod05,
        title = {{Deriving Private Information from Randomized Data}},
        author = {Huang, Zhengli and Du, Wenliang and Chen, Biao},
        series = {{SIGMOD} '05},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1066157.1066163},
        url = {https://dl.acm.org/doi/10.1145/1066157.1066163},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,312	Attacks on Privacy and deFinetti's Theorem	2009	SIGMOD	8.6461872e-05
4,678	Time Series Compressibility and Privacy	2007	VLDB	6.4568192e-05
4,819	Optimal Random Perturbation at Multiple Privacy Levels	2009	VLDB	6.3882469e-05
4,984	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD	6.3150969e-05
9,198	Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation	2008	SIGMOD	5.1954442e-05
12,764	Non-homogeneous Generalization in Privacy Preserving Data Publishing	2010	SIGMOD	4.9605343e-05
12,884	Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss	2009	VLDB	4.9605343e-05

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
69	Privacy-Preserving Data Mining	2000	SIGMOD	0.00037815735
227	Limiting Privacy Breaches in Privacy Preserving Data Mining	2003	PODS	0.00023895095
256	On the Design and Quantification of Privacy Preserving Data Mining Algorithms	2001	PODS	0.00022933612
1,248	Maintaining Data Privacy in Association Rule Mining	2002	VLDB	0.00011341932

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,945	Privacy via Pseudorandom Sketches	2006	PODS
2	123	Revealing Information while Preserving Privacy	2003	PODS
3	1,248	Maintaining Data Privacy in Association Rule Mining	2002	VLDB
4	3,134	Bayesian Differential Privacy on Correlated Data	2015	SIGMOD
5	4,819	Optimal Random Perturbation at Multiple Privacy Levels	2009	VLDB
6	13,146	Privacy in Data Systems	2003	PODS
7	9,701	Small Domain Randomization: Same Privacy, More Utility	2010	VLDB
8	69	Privacy-Preserving Data Mining	2000	SIGMOD
9	256	On the Design and Quantification of Privacy Preserving Data Mining Algorithms	2001	PODS
10	227	Limiting Privacy Breaches in Privacy Preserving Data Mining	2003	PODS