Suppressing marginal cells to protect sensitive information in a two-dimensional statistical table (Extended abstract)
Summary: Protects sensitive entries in 2D statistical tables by suppressing marginal cells to prevent exact derivation from nonsensitive cells plus unsuppressed marginals. Provides efficient algorithms to decide protection, enumerate/evaluate unprotected sets, and find minimal marginal suppressions. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. F. M. Malvestuto
- 2. M. Moscarini
- 3. M. Rafanelli
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,084 | On the Content of Materialized Aggregate Views | 2000 | PODS | 6.4581296e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,957 | Aggregate Evaluability In Statistical Databases | 1989 | VLDB | 4.1905499e-05 |
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