Uncertainty Quantification within SECURE LDRD
CIS Research Foundation External Review
Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey Glatter, Emma Savannah Johnson, She?ifa Punla-Green
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Display or Poster (non-conference) – 2022
Display or Poster (non-conference)
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2022 |
Science and Engineering of Cybersecurity by Uncertainty quantification and Rigorous Experimentation (SECURE) Final Report
Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, She?ifa Punla-Green
https://www.osti.gov/search/identifier:1821322
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SAND Report – 2021
SAND Report
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2021 |
Science & Engineering of Cyber Security by Uncertainty Quantification and Rigorous Experimentation (SECURE) HANDBOOK
Ali Pinar, Thomas D. Tarman, Laura Painton Swiler, Jared Lee Gearhart, Derek H. Hart, Eric D. Vugrin, Gerardo Cruz, Bryan Arguello, Gianluca Geraci, Bert Debusschere, Seth Terence Hanson, Alexander V. Outkin, Jamie Thorpe, William Eugene Hart, Meghan Anne Sahakian, Kasimir Georg Gabert, Casey James Glatter, Emma Savannah Johnson, and She?ifa Punla-Green
https://www.osti.gov/search/identifier:1820527
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Report – 2021
Report
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2021 |
GAMVT: A Generative Algorithm for MultiVariate Timeseries Data
Joint Statistical Meetings (JSM) 2021
Jamie Thorpe, Srideep Musuvathy, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra, Meghan Anne Sahakian
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Conference Paper – 2021
Conference Paper
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2021 |
Threat Data Generation for Space Systems
2021 IEEE Space Computing Conference (SCC)
Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra
https://www.osti.gov/search/identifier:1873281
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Conference Paper – 2021
Conference Paper
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2021 |
Threat Data Generation for Space Systems
2021 IEEE Space Computing Conference (SCC)
Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra
https://www.osti.gov/search/identifier:1873278
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Conference Presentation – 2021
Conference Presentation
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2021 |
GAMVT: A Generative Algorithm for Multi-Variate Timeseries Data
Joint Statistical Meetings (JSM) 2021
Jamie Thorpe, Srideep Musuvathy, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra, Meghan Anne Sahakian
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Abstract – 2021
Abstract
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2021 |
AIRSS: Adaptive Intrusion Response for Space Systems
AFRL Catalyst Accelerator
Meghan Anne Sahakian, Jamie Thorpe, Stephen Joseph Verzi, Srideep Musuvathy, Eric D. Vugrin, Matthew Dykstra, McKade Lee Umbenhower
https://www.osti.gov/search/identifier:1830982
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Presentation (non-conference) – 2020
Presentation (non-conference)
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2020 |
Threat Data Generation for Space Systems
2021 IEEE Space Computing Conference
Meghan Anne Sahakian, Srideep Musuvathy, Jamie Thorpe, Stephen Joseph Verzi, Eric D. Vugrin, Matthew Dykstra
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Abstract – 2020
Abstract
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2020 |
Threat Data Generation for a More Resilient Response
Sandia Machine Learning and Deep Learning (MLDL) Workshop
Jamie Thorpe, Meghan Anne Sahakian, Srideep Musuvathy, Stephen Joseph Verzi, Matthew Dykstra, Eric D. Vugrin
https://www.osti.gov/search/identifier:1811432
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Conference Paper – 2020
Conference Paper
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2020 |
A Game-Theoretic Approach to Attacker-Defender Interaction in Cyber Systems
SRA 2017 Annual Meeting
Alexander V. Outkin, Brandon K Eames, Stephen T. Jones, Eric D. Vugrin, Sarah Walsh, Cynthia Ann Phillips, Jacob Aaron Hobbs, Meghan Anne Sahakian, Gregory D. Wyss
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Abstract – 2017
Abstract
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2017 |
A Game-Theoretic Approach to Attacker-Defender Interaction in Cyber Systems
SRA 2017 Annual Meeting
Alexander V. Outkin, Brandon K Eames, Stephen T. Jones, Eric D. Vugrin, Sarah Walsh, Cynthia Ann Phillips, Jacob Aaron Hobbs, Meghan Anne Sahakian, Gregory D. Wyss
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Abstract – 2017
Abstract
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2017 |
A Game-Theoretic Approach to Attacker-Defender Interaction in Cyber Systems
SRA 2017 Annual Meeting
Alexander V. Outkin, Brandon K Eames, Stephen T. Jones, Eric D. Vugrin, Sarah Walsh, Cynthia Ann Phillips, Jacob Aaron Hobbs, Meghan Anne Sahakian, Gregory D. Wyss
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Abstract – 2017
Abstract
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2017 |
Optimization-based computation with spiking neurons
International Joint Conference on Neural Networks
Meghan Anne Sahakian, Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1457893
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Conference Paper – 2017
Conference Paper
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2017 |
Constant Depth and Subcubic Size Threshold Circuits for Matrix Multiplication
5th Neuro Inspired Computational Elements Workshop (NICE 2017)
Ojas D. Parekh, Cynthia Ann Phillips, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1425316
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Conference Paper – 2017
Conference Paper
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2017 |
Optimization-based Computation with Spiking Neurons
International Joint Conference on Neural Networks (IJCNN) 2017
Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1431555
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Conference Paper – 2017
Conference Paper
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2017 |
Optimization-based computation with spiking neurons
NIPS workshop on Computing with Spikes
Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1422128
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Conference Paper – 2016
Conference Paper
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2016 |
Optimization-based computation with spiking neurons
NIPS 2016 workshop on Computing with Spikes
Stephen Joseph Verzi, Craig Michael Vineyard, Eric D. Vugrin, Meghan Anne Sahakian, Conrad D. James, James Bradley Aimone
https://www.osti.gov/search/identifier:1422129
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Conference Paper – 2016
Conference Paper
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2016 |