We consider using machine learning techniques to help understand a large software system. In particular, we describe how learning techniques can be used to reconstruct abstract Da...
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
This paper presents an Integer Linear Programming (ILP) approach to the instruction-set extension identification problem. An algorithm that iteratively generates and solves a set...
We describe the design and implementation of Privacy Oracle, a system that reports on application leaks of user information via the network traffic that they send. Privacy Oracle ...
Jaeyeon Jung, Anmol Sheth, Ben Greenstein, David W...
The primary objective of this paper was to examine the extent to which Gutman’s Means-End Chain Model can be used to describe the influences given to the choice of characteristi...