48 citations · 55 across the 4 of their papers we have counts for
4 papers
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
Alexis Cooper, Xin Zhou, Scott Heidbrink +1
Software flaw detection using multimodal deep learning models has been demonstrated as a very competitive approach on benchmark problems. In this work, we demonstrate that even bet…
Multimodal Deep Learning for Flaw Detection in Software Programs
Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy
We explore the use of multiple deep learning models for detecting flaws in software programs. Current, standard approaches for flaw detection rely on a single representation of a s…
TrustBase: An Architecture to Repair and Strengthen Certificate-based Authentication
Mark O'Neill, Scott Heidbrink, Jordan Whitehead +4
We describe TrustBase, an architecture that provides certificate-based authentication as an operating system service. TrustBase enforces best practices for certificate validation f…
"We're on the Same Page": A Usability Study of Secure Email Using Pairs of Novice Users
Scott Ruoti, Jeff Andersen, Scott Heidbrink +5
Secure email is increasingly being touted as usable by novice users, with a push for adoption based on recent concerns about government surveillance. To determine whether secure em…