Joe Ingram

According to our database, Joe Ingram authored at least 8 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Trajectory Planning With Deep Reinforcement Learning in High-Level Action Spaces.

Kyle R. Williams, Rachel Schlossman, Daniel Whitten, Joe Ingram, Srideep Musuvathy, James Pagan, Kyle A. Williams, Sam Green, Anirudh Patel, Anirban Mazumdar, Julie Parish

IEEE Trans. Aerosp. Electron. Syst., June, 2023

2020

Self-Updating Models with Error Remediation.

Justin E. Doak, Michael R. Smith, Joey B. Ingram

CoRR, 2020

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Information Security.

Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer

CoRR, 2020

Mind the Gap: On Bridging the Semantic Gap between Machine Learning and Malware Analysis.

Michael R. Smith, Nicholas T. Johnson, Joe B. Ingram, Armida J. Carbajal, Bridget I. Haus, Eva Domschot, Ramyaa, Christopher C. Lamb, Stephen J. Verzi, W. Philip Kegelmeyer

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2018

Dynamic Analysis of Executables to Detect and Characterize Malware.

Michael R. Smith, Joe Ingram, Christopher C. Lamb, Timothy Draelos, Justin E. Doak, James B. Aimone, Conrad D. James

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Tracking Cyber Adversaries with Adaptive Indicators of Compromise.

Justin E. Doak, Joe B. Ingram, Sam A. Mulder, John H. Naegle, Jonathan A. Cox, James B. Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett

CoRR, 2017

2015

Using Bipartite Anomaly Features for Cyber Security Applications.

Eric L. Goodman, Joe Ingram, Shawn Martin, Dirk Grunwald

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2013

Active Learning for Alert Triage.

Justin E. Doak, Joe Ingram, Jeffery Shelburg, Joshua Johnson, Brandon Rohrer

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013