Abstract
Secure computation allows collaborative computations with enforced privacy. Continued research and increasingly larger real-world deployments suggest that anyone looking for privacy-preserving computing technology should keep an eye on secure computation's development.
| Original language | English |
|---|---|
| Article number | 7676176 |
| Pages (from-to) | 48-56 |
| Number of pages | 9 |
| Journal | IEEE Security and Privacy |
| Volume | 14 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 Sep 2016 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Funding
This material is based on work supported by DARPA and the Office of Naval Research under contract N00014-11-C-0333. Any opinions, findings, and conclusions or recommendations expressed in this material are the authors' and don't necessarily reflect DARPA's views. In addition, the EU Seventh Framework Programme (FP7/2007-2013) under grant agreement 609611 (PRACTICE) and the Estonian Research Council under grant IUT27-1 funded research leading to these results.
| Funders | Funder number |
|---|---|
| FP7/2007 | 609611 |
| Office of Naval Research | N00014-11-C-0333 |
| Defense Advanced Research Projects Agency | |
| Eesti Teadusagentuur | IUT27-1 |
| Seventh Framework Programme |
Keywords
- homomorphic cryptography
- performance
- privacy
- secure computing
- security
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