Name
Abstract | ||
|---|---|---|
We describe and illustrate NISS-developed optimal tabular release technology, which releases sets of sub-tables of large contingency tables that maximize data utility (in our examples, the number of sub-tables released) subject to a constraint on disclosure risk (tightness of bounds on small-count, risky cells in the underlying table). This approach explicitly accommodates the mandate of Federal statistical agencies to protect data confidentiality and their mission to disseminate information derived from the data. |
Year | Venue | Keywords |
|---|---|---|
2002 | DG.O | optimal tabular release,confidential data,contingency table,data confidentiality |
Field | DocType | Citations |
Mandate,Confidentiality,Computer security,Computer science,Dissemination,Contingency table,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alan F. Karr | 1 | 1005 | 76.93 |
| Adrian Dobra | 2 | 62 | 8.05 |
| Ashish Sanil | 3 | 152 | 12.81 |