Dr. Nathaniel D. Bastian Profile

Dr. Nathaniel D. Bastian

at United States Military Academy

SPIE Involvement:

Conference Chair | Conference Program Committee | Editor | Author

Proceedings Article | 7 June 2024 Presentation + Paper

Quantum machine learning for feature selection in Internet of Things network intrusion detection

Patrick Davis, Sean Coffey, Lubjana Beshaj, Nathaniel Bastian

Proceedings Volume 13028, 130280C (2024) https://doi.org/10.1117/12.3013539

KEYWORDS: Quantum features, Feature selection, Quantum annealing, Data modeling, Internet of things, Quantum modeling

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Proceedings Article | 7 June 2024 Presentation + Paper

Differential privacy to mathematically secure fine-tuned large language models for linguistic steganography

Sean Coffey, Joseph Catudal, Nathaniel Bastian

Proceedings Volume 13054, 130540K (2024) https://doi.org/10.1117/12.3013129

KEYWORDS: Data modeling, Steganography, Data privacy, Mathematical modeling, Stochastic processes, Machine learning

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Proceedings Article | 7 June 2024 Presentation + Paper

Bayesian graph representation learning for adversarial patch detection

Alexander Berenbeim, Alexander Wei, Adam Cobb, Anirban Roy, Susmit Jha, Nathaniel Bastian

Proceedings Volume 13054, 1305409 (2024) https://doi.org/10.1117/12.3013128

KEYWORDS: Object detection, Data modeling, Neural networks, Machine learning, Convolution

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Proceedings Article | 7 June 2024 Presentation + Paper

Stochastic optimization of inference execution on tactical edge networks

Mikal Willeke, Sean Harding, Kevin Chan, Nathaniel Bastian

Proceedings Volume 13051, 130510X (2024) https://doi.org/10.1117/12.3013136

KEYWORDS: Stochastic processes, Mathematical optimization, Intelligence systems, Statistical modeling, Algorithm development, Systems modeling, Statistical analysis

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Proceedings Article | 7 June 2024 Presentation + Paper

Semisupervised learning with data augmentation for raw network traffic detection

Robin Bhoo, Nathaniel Bastian

Proceedings Volume 13051, 130511E (2024) https://doi.org/10.1117/12.3013183

KEYWORDS: Machine learning, Data modeling, Deep learning, Image classification, Computer intrusion detection, Network security

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Proceedings Article | 7 June 2024 Presentation + Paper

A methodology for representing and assessing artificial intelligence decision aids within modeling and simulation

Joshua Wong, Emily Nack, Zachary Steelman, Seth Erway, Nathaniel Bastian

Proceedings Volume 13051, 130510K (2024) https://doi.org/10.1117/12.3013180

KEYWORDS: Artificial intelligence, Data modeling, Computer simulations, Monte Carlo methods, Modeling, Systems modeling, Machine learning

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Proceedings Article | 7 June 2024 Presentation + Paper

Zero-shot learning for raw network traffic detection

Pooja Rani, Nathaniel Bastian

Proceedings Volume 13051, 130511F (2024) https://doi.org/10.1117/12.3013131

KEYWORDS: Machine learning, Data modeling, Network security, Computer intrusion detection, Statistical analysis

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Proceedings Article | 7 June 2024 Presentation + Paper

Dynamic reinforcement learning for network defense: botnet detection and eradication

Robert Schabinger, Caleb Carlin, Jonathan Mullin, David Bierbrauer, Emily Nack, John Pavlik, Alexander Wei, Nathaniel Bastian, Metin Ahiskali

Proceedings Volume 13051, 130511D (2024) https://doi.org/10.1117/12.3012783

KEYWORDS: Network security, Machine learning, Defense and security, Computer networks, Monte Carlo methods, Inspection, Data modeling, Windows, Transformers

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Proceedings Article | 17 July 2023 Presentation + Paper

Human-machine cooperative AI decision-making with heterogeneous data

Erik Blasch, Nathanial Bastian, Alex Aved, Erika Ardiles-Cruz

Proceedings Volume 12547, 125470H (2023) https://doi.org/10.1117/12.2664157

KEYWORDS: Artificial intelligence, Data modeling, Decision making, Risk assessment, Data fusion, Systems modeling, Network security, Sensors, Safety, Information fusion

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Proceedings Article | 14 June 2023 Presentation + Paper

Cyber creative GAN for novel malicious packets

John Pavlik, Nathaniel Bastian

Proceedings Volume 12529, 125290L (2023) https://doi.org/10.1117/12.2663700

KEYWORDS: Data modeling, Adversarial training, Machine learning, Network architectures, Computer intrusion detection, Binary data

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Proceedings Article | 12 June 2023 Presentation + Paper

Autonomous cyber warfare agents: dynamic reinforcement learning for defensive cyber operations

David Bierbrauer, Robert Schabinger, Caleb Carlin, Jonathan Mullin, John Pavlik, Nathaniel Bastian

Proceedings Volume 12538, 125380E (2023) https://doi.org/10.1117/12.2663093

KEYWORDS: Transformers, Monte Carlo methods, Mathematical optimization, Defense and security, Decision making

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Proceedings Article | 12 June 2023 Presentation + Paper

Data-efficient, federated learning for raw network traffic detection

Mikal Willeke, David Bierbrauer, Nathaniel Bastian

Proceedings Volume 12538, 125380Y (2023) https://doi.org/10.1117/12.2663092

KEYWORDS: Data modeling, Machine learning, Computer intrusion detection, Neural networks, Network security

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Proceedings Article | 12 June 2023 Presentation + Paper

Graph representation learning for context-aware network intrusion detection

Augustine Premkumar, Madeleine Schneider, Carlton Spivey, John Pavlik, Nathaniel Bastian

Proceedings Volume 12538, 125380H (2023) https://doi.org/10.1117/12.2663162

KEYWORDS: Machine learning, Computer intrusion detection, Data modeling, Decision trees, Neural networks

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Proceedings Article | 12 April 2021 Presentation + Paper

Generating genetic engineering linked indicator datasets for machine learning classifier training in biosecurity

Christopher Painter, Nathaniel Bastian

Proceedings Volume 11746, 1174624 (2021) https://doi.org/10.1117/12.2587844

KEYWORDS: Genetic engineering, Genetics, Machine learning, Viruses, Transformers, Optimization (mathematics), Neural networks, Databases, Biological weapons, Bacteria

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Proceedings Article | 12 April 2021 Presentation + Paper

Machine learning raw network traffic detection

Michael De Lucia, Paul Maxwell, Nathaniel Bastian, Ananthram Swami, Brian Jalaian, Nandi Leslie

Proceedings Volume 11746, 117460V (2021) https://doi.org/10.1117/12.2586114

KEYWORDS: Machine learning, Network security, Feature extraction, Detection and tracking algorithms

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Proceedings Article | 21 April 2020 Presentation + Paper

Beyond traditional architecture for MDO applications: the Erlang VM and its potential

C. Wilkinson, Nathaniel Bastian, Minseok Kwon

Proceedings Volume 11413, 114130N (2020) https://doi.org/10.1117/12.2559799

KEYWORDS: Computer programming, Distributed computing, Telecommunications, Computing systems, Computer architecture, Computer programming languages

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Showing 5 of 16 publications

SPIE Conference Volume | 26 June 2024

Assurance and Security for AI-enabled Systems

Conference Committee Involvement (7)

Assurance and Security for AI-enabled Systems 2025

15 April 2025 | Orlando, Florida, United States

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII

13 April 2025 | Orlando, Florida, United States

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI

22 April 2024 | National Harbor, Maryland, United States

Assurance and Security for AI-enabled Systems

22 April 2024 | National Harbor, Maryland, United States

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V

1 May 2023 | Orlando, Florida, United States

Showing 5 of 7 Conference Committees

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