Publications

Going Beyond Signature Malware Detection by Learning Behaviors

Malware Technical Exchange Meeting

Nicholas T. Johnson, Eva Domschot, Kanad Khanna, William Philip Kegelmeyer, Christopher Lamb, Ramyaa Ramyaa, Michael Reed Smith, Stephen Joseph Verzi, Xin Zhou, Armida J. Carbajal, Bridget Haus, Joey Burton Ingram

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

13th ACM Workshop on Artificial Intelligence and Security

Michael Reed Smith, Nicholas T. Johnson, Joey Burton Ingram, Armida J. Carbajal, Bridget Irene Haus, Eva Domschot, Ramyaa Ramyaa, Christopher Lamb, Stephen Joseph Verzi, William Philip Kegelmeyer

https://www.osti.gov/search/identifier:1831009

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

Sandia Machine Learning and Deep Learning Workshop

Michael Reed Smith, Armida J. Carbajal, Eva Domschot, Bridget Irene Haus, Joey Burton Ingram, Nicholas T. Johnson, William Philip Kegelmeyer, Christopher Lamb, Ramyaa Ramyaa, Stephen Joseph Verzi

https://www.osti.gov/search/identifier:1811972

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

13th ACM Workshop on Artificial Intelligence and Security

Michael Reed Smith, Nicholas T. Johnson, Joey Burton Ingram, Armida J. Carbajal, Bridget Irene Haus, Eva Domschot, Ramyaa Ramyaa, Christopher Lamb, Stephen Joseph Verzi, William Philip Kegelmeyer

https://www.osti.gov/search/identifier:1807188

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

The ACM Conference on Computer and Communications Security

Michael Reed Smith, Nicholas T. Johnson, Joey Burton Ingram, Armida J. Carbajal, Ramyaa Ramyaa, Evelyn Domschot, Christopher Lamb, Stephen Joseph Verzi, William Philip Kegelmeyer

https://www.osti.gov/search/identifier:1782493

Self-updating Models with Error Remediation for Bandwidth-constrained Environments

2019 IEEE Space Computing Conference (SCC)

Justin E Doak, Joey Burton Ingram, Michael Reed Smith, Craig Michael Vineyard

https://www.osti.gov/search/identifier:1641249

Self-updating learning models with error correction remediation for bandwidth- constrained environments

IEEE Space Computing Conference (SCC)

Michael Reed Smith, Justin E Doak, Joey Burton Ingram, Craig Michael Vineyard

Dynamic Analysis of Executables to Detect and Characterize Malware

IEEE International Conference on Machine Learning and Applications (IEEE ICMLA)

Michael Reed Smith, Joey Burton Ingram, Christopher Lamb, Timothy J. Draelos, Justin E Doak, James Bradley Aimone, Conrad D. James

https://www.osti.gov/search/identifier:1806881

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY

Justin E Doak, Joey Burton Ingram, Samuel A. Mulder, John H. Naegle, Jonathan A. Cox, James Bradley Aimone, Kevin R. Dixon, Conrad D. James, David R. Follett

https://www.osti.gov/search/identifier:1486988

Tracking Cyber Adversaries with Adaptive Indicators of Compromise

4th Annual Conf. on Computational Science & Computational Intelligence; THE 2017 INTERNATIONAL SYMPOSIUM ON CYBER WARFARE, CYBER DEFENSE, AND SECURITY

Justin E Doak, Justin E Doak, Joey Burton Ingram, Joey Burton Ingram, Samuel A. Mulder, Samuel A. Mulder, John H. Naegle, John H. Naegle, Jonathan A. Cox, Jonathan A. Cox, James Bradley Aimone, James Bradley Aimone, Kevin R. Dixon, Kevin R. Dixon, Conrad D. James, Conrad D. James, David R. Follet, David R. Follet

https://www.osti.gov/search/identifier:1511128