We present ARM2GC, a novel secure computation framework based on Yao's Garbled
Circuit (GC) protocol and the ARM processor. It allows users to develop privacy-preserving …

We present TinyGarble2--a C++ framework for privacy-preserving computation through the
Yao's Garbled Circuit (GC) protocol in both the honest-but-curious and the malicious security …

Secure two-party computation allows two parties to evaluate a function of their private inputs
without revealing their own inputs to the other party. The garbled circuit technique …

Garbled circuit (GC) is one of the few promising protocols to realize general-purpose secure
computation. The target computation is represented by a Boolean circuit that is subsequently …

Garbled circuits provide a powerful tool for jointly evaluating functions while preserving the
privacy of each user's inputs. While recent research has made the use of this primitive more …

Privacy and security have rapidly emerged as priorities in system design. One powerful
solution for providing both is privacy-preserving computation, where functions are computed …

We introduce Tiny Garble, a novel automated methodology based on powerful logic
synthesis techniques for generating and optimizing compressed Boolean circuits used in …

We present GarbledCPU, the first framework that realizes a hardware-based general
purpose sequential processor for secure computation. Our MIPS-based implementation …

Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

Garbled circuit play a key role in secure computation, but existing implementations do not
scale and are not modular. In this paper we present VMCrypt, a library for secure …