Name
Abstract | ||
|---|---|---|
•We discuss the challenges and particularities of privacy-preserving releases of query logs.•We propose a differentially private method that protects query logs from a semantic perspective.•We propose several semantic criteria to probabilistically replace queries while fulfilling differential privacy.•We provide a mechanism to balance the protection and the utility preservation of query logs.•Empirical results show that our method produces protected logs that are more useful for user profiling than related works. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2018.05.046 | Information Sciences |
Keywords | Field | DocType |
Differential privacy,Query logs,Data utility,User profiling | Joins,Information retrieval,Curse of dimensionality,Personally identifiable information,Artificial intelligence,Data Protection Act 1998,Machine learning,Limiting,Mathematics,Semantics,Statistical disclosure control | Journal |
Volume | ISSN | Citations |
460 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 29 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sánchez | 1 | 690 | 33.01 |
| Montserrat Batet | 2 | 899 | 37.20 |
| Alexandre Viejo | 3 | 352 | 25.61 |
| Mercedes Rodriguez-Garcia | 4 | 8 | 2.53 |
| Jordi Castellà-Roca | 5 | 0 | 1.35 |