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
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Conference Presentation – 2021
Conference Presentation
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2021 |
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
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Conference Presentation – 2020
Conference Presentation
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2020 |
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
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Conference Paper – 2020
Conference Paper
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2020 |
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
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Conference Paper – 2020
Conference Paper
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2020 |
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
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Conference Paper – 2020
Conference Paper
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2020 |
Industrial Control Systems Cyber Security Risk Candidate Methods Analysis
Lon Andrew Dawson, Christopher Lamb, Armida J. Carbajal
https://www.osti.gov/search/identifier:1463794
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SAND Report – 2018
SAND Report
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2018 |
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
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Conference Paper – 2018
Conference Paper
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2018 |
Neurogenesis Deep Learning
Academic Alliance Faculty Field Day Poster Session
Timothy J. Draelos, Nadine E. Miner, Jonathan Cox, Christopher Lamb, Craig Michael Vineyard, Kristofor Carlson, William Mark Severa, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1462930
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Display or Poster (non-conference) – 2017
Display or Poster (non-conference)
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2017 |
Neurogenesis Deep Learning: Extending deep Networks to accommodate new classes
IEEE International Joint Conference on Neural Networks
Timothy J. Draelos, Nadine E. Miner, Christopher Lamb, Jonathan cox, Craig Michael Vineyard, Kristofor David Carlson, William Mark Severa, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1457976
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Conference Paper – 2017
Conference Paper
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2017 |
Neurogenesis Deep Learning
Ijcnn 2-17
Timothy J. Draelos, Nadine E. Miner, Christopher Lamb, Jonathan A. Cox, Craig Michael Vineyard, Kristofor David Carlson, William Mark Severa, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1424868
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Conference Paper – 2017
Conference Paper
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2017 |
Neurogenesis Deep Learning
Timothy J. Draelos, Nadine E. Miner, Christopher Lamb, Craig Michael Vineyard, Kristofor David Carlson, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1505351
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Report – 2016
Report
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2016 |
Neurogenic Deep Learning
International Conference on Learning Representations
Timothy J. Draelos, Nadine E. Miner, Jonathan Albert Cox, Christopher Lamb, William Mark Severa, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1365357
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Conference Paper – 2016
Conference Paper
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2016 |
Neurogenic Deep Learning
Internation Conference on Learning Representations
Timothy J. Draelos, Nadine E. Miner, Jonathan Albert Cox, Christopher Lamb, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1344833
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Conference Paper – 2016
Conference Paper
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2016 |