Name
Abstract | ||
|---|---|---|
Biological data science is an emerging field facing multiple challenges for hosting, sharing, computing on, and interacting with large data sets. Privacy regulations and concerns about the risks of leaking sensitive personal health and genomic data add another layer of complexity to the problem. Recent advances in cryptography over the last five years have yielded a tool, homomorphic encryption, w... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JPROC.2016.2622218 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Encryption,Biology,Bioinformatics,Genomics,Public key,Encryption | Journal | 105 |
Issue | ISSN | Citations |
3 | 0018-9219 | 4 |
PageRank | References | Authors |
0.43 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathan Dowlin | 1 | 94 | 2.80 |
| Ran Gilad-bachrach | 2 | 650 | 40.30 |
| Kim Laine | 3 | 93 | 9.83 |
| Kristin Lauter | 4 | 1883 | 98.23 |
| Michael Naehrig | 5 | 1390 | 55.23 |
| John Wernsing | 6 | 98 | 3.18 |