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Two-party Secure Function Evaluation (SFE) allows two parties to evaluate a function known to both parties on their private inputs. In some settings, the input of one of the parties is the de finition...
We present ARM2GC, a novel secure function evaluation framework based on Yao’s Garbled Circuit (GC) protocol and the ARMprocessor. It allows users to develop privacy-preserving applications using high...
Secure multi-party computation allows a number of participants to securely evaluate a function on their private inputs and has a growing number of applications. Two standard adversarial models that tr...
Yao's garbled circuits have been extensively used in Secure Function Evaluations (SFE). Several improvements have been proposed to improve the efficiency of garbled circuits. Kolesnikov and Schneider ...
Garbled circuits offer a powerful primitive for computation on a user’s personal data while keeping that data private. Despite recent improvements, constructing and evaluating circuits of any useful ...
Many deployments of secure multi-party computation (MPC) in practice have used informationtheoretic three-party protocols that tolerate a single, semi-honest corrupt party, since these protocols enj...
We consider generic Garbled Circuit (GC)-based techniques for Secure Function Evaluation (SFE) in the semi-honest model. We describe efficient GC constructions for addition, subtraction, multiplicat...

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