Name
Abstract | ||
|---|---|---|
•An information theoretic framework to quantify semantic correlations is presented.•This is used to measure the disclosure risk of correlated terms in document sanitization.•An efficient algorithm providing a practical implementation of the framework is provided.•Evaluation results show a significant decrease of disclosure risk against standard sanitizers. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.ins.2013.06.042 | Information Sciences |
Keywords | Field | DocType |
Privacy,Document sanitization,Semantic correlation,Information theory | Information theory,World Wide Web,Information retrieval,Confidentiality,Computer science,Declassification,Artificial intelligence,Information sharing,Machine learning | Journal |
Volume | ISSN | Citations |
249 | 0020-0255 | 14 |
PageRank | References | Authors |
0.57 | 28 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sánchez | 1 | 395 | 32.93 |
| Montserrat Batet | 2 | 899 | 37.20 |
| Alexandre Viejo | 3 | 352 | 25.61 |