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DEMO
2016
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security - CCS'16
Secure multi-party computation (MPC) allows multiple parties to perform a joint computation without disclosing their private inputs. Many real-world joint computation use cases, however, involve data analyses on very large data sets, and are implemented by software engineers who lack MPC knowledge. Moreover, the collaborating parties -e.g., several companies -often deploy different data analytics stacks internally. These restrictions hamper the realworld usability of MPC. To address these
doi:10.1145/2976749.2989034
dblp:conf/ccs/VolgushevSLVB16
fatcat:jiho4j436zam7ll5zysbcw3uom