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

Two-party secure-function evaluation (SFE) has become significantly more feasible, even on
resource-constrained devices, because of advances in server-aided computation systems …

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 …

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 …

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

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 …

Several techniques in computer security, including generic protocols for secure computation
and symbolic execution, depend on implementing algorithms in static circuits. Despite …

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

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 …

Garbled circuits, a classical idea rooted in the work of Yao, have long been understood as a
cryptographic technique, not a cryptographic goal. Here we cull out a primitive …