Name
Abstract | ||
|---|---|---|
Strings are used to model genomic, natural language, and web activity data, and are thus often shared broadly. However, string data sharing has raised privacy concerns stemming from the fact that knowledge of length-k substrings of a string and their frequencies (multiplicities) may be sufficient to uniquely reconstruct the string; and from that the inference of such substrings may leak confidenti... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDM51629.2021.00014 | 2021 IEEE International Conference on Data Mining (ICDM) |
Keywords | DocType | ISSN |
Differential privacy,Heuristic algorithms,Conferences,Natural languages,Genomics,Data models,Dynamic programming | Conference | 1550-4786 |
ISBN | Citations | PageRank |
978-1-6654-2398-4 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiping Chen | 1 | 0 | 1.69 |
| Changyu Dong | 2 | 202 | 20.85 |
| Liyue Fan | 3 | 0 | 2.03 |
| Grigorios Loukides | 4 | 0 | 2.70 |
| Solon P. Pissis | 5 | 281 | 57.09 |
| L. Stougie | 6 | 128 | 23.07 |