Combining Differential Privacy and Secure Multiparty Computation
| Autor: | Peeter Laud, Martin Pettai |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
TheoryofComputation_MISCELLANEOUS
Computer science 0102 computer and information sciences 02 engineering and technology Computer security computer.software_genre USable 01 natural sciences Secret sharing 010201 computation theory & mathematics 020204 information systems Secure two-party computation 0202 electrical engineering electronic engineering information engineering Secure multi-party computation Differential privacy Personally identifiable information computer |
| Zdroj: | ACSAC |
| DOI: | 10.1145/2818000.2818027 |
| Popis: | We consider how to perform privacy-preserving analyses on private data from different data providers and containing personal information of many different individuals. We combine differential privacy and secret sharing based secure multiparty computation in the same system to protect the privacy of both the data providers and the individuals. We have implemented a prototype of this combination and have found that the overhead of adding differential privacy to secure multiparty computation is small enough to be usable in practice. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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