output
20192022
most citedA Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

15 citations

6 papers

cs.CR2022★ 3 cited

Homo in Machina: Improving Fuzz Testing Coverage via Compartment Analysis

Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt +2

Fuzz testing is often automated, but also frequently augmented by experts who insert themselves into the workflow in a greedy search for bugs. In this paper, we propose Homo in Mac…

cs.CR2022★ 15 cited

A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System

Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey +1

Network intrusion detection systems (NIDS) to detect malicious attacks continue to meet challenges. NIDS are often developed offline while they face auto-generated port scan infilt…

cs.CR2022★ 5 cited

Black-box Attacks Against Neural Binary Function Detection

Joshua Bundt, Michael Davinroy, Ioannis Agadakos +2

Binary analyses based on deep neural networks (DNNs), or neural binary analyses (NBAs), have become a hotly researched topic in recent years. DNNs have been wildly successful at pu…

cs.CR2020

Using Side Channel Information and Artificial Intelligence for Malware Detection

Paul Maxwell, David Niblick, Daniel C. Ruiz

Cybersecurity continues to be a difficult issue for society especially as the number of networked systems grows. Techniques to protect these systems range from rules-based to artif…

quant-ph2020★ 2 cited

No quantum Ramsey theorem for stabilizer codes

Yannis Bousba, Travis B. Russell

In this paper we study the quantum graphs of mixed-unitary channels generated by tensor products of Pauli operators, which we call Pauli channels. We show that most quantum graphs…

quant-ph2019★ 3 cited

Geometry of the set of synchronous quantum correlations

Travis B. Russell

We provide a complete geometric description of the set of synchronous quantum correlations for the three experiment two outcome scenario. We show that these correlations form a clo…