Privacy in Data Systems

Summary: Perturb individual records and reconstruct original value distributions to build decision-tree classifiers and enable association-rule mining with accuracy comparable to using raw data. Introduce “Hippocratic databases” — principles, challenges, and solution directions for embedding privacy responsibility into database systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 1276
Venue: PODS
Year: 2003
Pagerank: 5.093636e-05
Overall Rank: 12,809 | 12.12%
DOI: 10.1145/773153.773157

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Rakesh Agrawal (IBM)

BibTeX Citation

@inproceedings{agrawal_pods03,
        address = {New York, NY, USA},
        series = {{PODS} '03},
        title = {{Privacy in Data Systems}},
        url = {https://dl.acm.org/doi/10.1145/773153.773157},
        doi = {10.1145/773153.773157},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Agrawal, Rakesh},
        year = {2003}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
70	Privacy-Preserving Data Mining	2000	SIGMOD	0.0003804755
244	On the Design and Quantification of Privacy Preserving Data Mining Algorithms	2001	PODS	0.00023476901
404	Hippocratic Databases	2002	VLDB	0.00019065022
1,820	Information Sharing Across Private Databases	2003	SIGMOD	9.6791131e-05
2,863	Watermarking Relational Databases	2002	VLDB	8.0202027e-05

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5	4,029	Differential Privacy in Telco Big Data Platform	2015	VLDB
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