We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
—Today, many chips are designed with predefined discrete cell libraries. In this paper we present a new fast gate sizing algorithm that works natively with discrete cell choices...
— We present new combinatorial algorithms for Boolean matrix multiplication (BMM) and preprocessing a graph to answer independent set queries. We give the first asymptotic impro...
—We introduce a new tool for approximation and testing algorithms called partitioning oracles. We develop methods for constructing them for any class of bounded-degree graphs wit...
Avinatan Hassidim, Jonathan A. Kelner, Huy N. Nguy...
—How to efficiently use the air interface is a crucial issue in wireless networks. In order to improve the performance, mechanisms have been proposed to improve the reach and th...