Protocols for generic secure multi-party computation (MPC) come in two forms: they either represent the function being computed as a boolean circuit, or as an arithmetic circuit o...
Seung Geol Choi, Kyung-Wook Hwang, Jonathan Katz, ...
We give direct constructions of pseudorandom function (PRF) families based on conjectured hard lattice problems and learning problems. Our constructions are asymptotically effici...
We propose two different ways to simulate Boolean circuits in the framework of ciliate computations, based on the intramolecular and on the intermolecular gene assembly models wit...
A boolean circuit represents an n by n (0,1)-matrix A if it correctly computes the linear transformation y = Ax over GF(2) on all n unit vectors. If we only allow linear boolean f...
Boolean circuits offer a natural, structured, and compact representation of Boolean functions for many application domains. In this paper a tableau method for solving satisfiabilit...
We study families of Boolean circuits with the property that the number of gates at distance t fanning into or out of any given gate in a circuit is bounded above by a polynomial ...
The Boolean circuits is well established as a data structure for building propositional encodings of problems in preparation for satisfiability solving. The standard method for co...
This paper studies the relative proof complexity of variations of a tableau method for Boolean circuit satisfiability checking obtained by restricting the use of the cut rule in s...
We consider the relationship between size and depth for layered Boolean circuits, synchronous circuits and planar circuits as well as classes of circuits with small separators. In ...
d Abstract] Dana Angluin James Aspnes Jiang Chen Yinghua Wu We propose a new model for exact learning of acyclic circuits using experiments in which chosen values may be assigned ...
Dana Angluin, James Aspnes, Jiang Chen, Yinghua Wu