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cs.CR2019
Scalable Information-Flow Analysis of Secure Three-Party Affine Computations
Patrick Ah-Fat, Michael Huth
Elaborate protocols in Secure Multi-party Computation enable several participants to compute a public function of their own private inputs while ensuring that no undesired informat…
cs.CR2018
Optimal Accuracy-Privacy Trade-Off for Secure Multi-Party Computations
Patrick Ah-Fat, Michael Huth
The purpose of Secure Multi-Party Computation is to enable protocol participants to compute a public function of their private inputs while keeping their inputs secret, without res…