Secure Function Evaluation (SFE) has received recent attention due to the massive
collection and mining of personal data, but remains impractical due to its large …

Secure Function Evaluation (SFE) has received considerable attention recently due to the
massive collection and mining of personal data over the Internet, but large computational …

We present FASE, an FPGA accelerator for Secure Function Evaluation (SFE) by employing
the well-known cryptographic protocol named Yao's Garbled Circuit (GC). SFE allows two …

As more and more programs handle personal information, the demand for secure handling
of data is increasing. The protocol that satisfies this demand is called Secure function …

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 …

Data privacy is an increasing concern in our interconnected world. Garbled circuits is an
important approach used for Secure Function Evaluation (SFE); however it suffers from long …

Secure function evaluation (SFE) on mobile devices, such as smartphones, creates
compelling new applications such as privacy-preserving bartering. Generating custom …

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

A new scheme for securing users' data and applications in public clouds and data centers
using Field Programmable Gate Arrays (FPGAs) has been developed. This scheme …

Secure function evaluation (SFE) is a cryptographic protocol that facilitates participants to
compute a function on their private inputs in such a way that privacy of their inputs is …