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ORCIDTyler Cody
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2020 – today
- 2024
[j6]D. Richard Kuhn
, M. S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman:
Assured Autonomy Through Combinatorial Methods. Computer 57(5): 86-90 (2024)- [c25]Tyler Cody, Peter A. Beling:
Towards a Process Algebra and Operator Theory for Learning System Objects. AGI 2024: 43-52 - [c24]Bingxu Li, Gregory J. Gerling, Tyler Cody:
Estimating Contact Force Rate Using Skin Deformation Cues. EuroHaptics (1) 2024: 464-476 - [c23]Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou:
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs. ICML 2024 - [c22]Tyler Cody, Bingtong Li, Peter A. Beling:
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. SysCon 2024: 1-8 - [c21]Anli du Preez, Peter A. Beling, Tyler Cody:
A Systems Theoretic Approach to Online Machine Learning. SysCon 2024: 1-8 - [i21]Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen:
Discovering Command and Control Channels Using Reinforcement Learning. CoRR abs/2401.07154 (2024) - [i20]Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen:
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR abs/2402.09200 (2024) - [i19]Tyler Cody, Bingtong Li, Peter A. Beling:
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. CoRR abs/2404.03769 (2024) - [i18]Anli du Preez, Peter A. Beling, Tyler Cody:
A Systems Theoretic Approach to Online Machine Learning. CoRR abs/2404.03775 (2024) - 2023
- [j5]Tyler Cody, Emma Meno, Peter A. Beling, Laura J. Freeman:
Whole Campaign Emulation with Reinforcement Learning for Cyber Test. IEEE Instrum. Meas. Mag. 26(5): 25-30 (2023) - [j4]Tyler Cody, Peter A. Beling:
A Systems Theory of Transfer Learning. IEEE Syst. J. 17(1): 26-37 (2023) - [c20]Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CAMLIS 2023: 77-90 - [c19]Tyler Cody, Peter A. Beling:
Cascading Negative Transfer in Networks of Machine Learning Systems. ICAA 2023: 141-148 - [c18]Stephen C. Adams, Tyler Cody, Ramin Salman Roughani, Peter A. Beling:
Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments. ICMLA 2023: 900-907 - [c17]Tyler Cody, Laura J. Freeman:
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. ICSTW 2023: 206-213 - [i17]Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman:
Active Learning with Combinatorial Coverage. CoRR abs/2302.14567 (2023) - [i16]Tyler Cody, Laura J. Freeman:
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. CoRR abs/2302.14616 (2023) - [i15]Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen:
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR abs/2310.03667 (2023) - [i14]Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman:
Test & Evaluation Best Practices for Machine Learning-Enabled Systems. CoRR abs/2310.06800 (2023) - [i13]Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling:
A Systems-Theoretical Formalization of Closed Systems. CoRR abs/2311.10786 (2023) - [i12]Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin:
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR abs/2312.17300 (2023) - 2022
- [j3]Stephen C. Adams, Tyler Cody, Peter A. Beling:
A survey of inverse reinforcement learning. Artif. Intell. Rev. 55(6): 4307-4346 (2022) - [j2]Alex Langevin, Tyler Cody, Stephen C. Adams, Peter A. Beling:
Generative adversarial networks for data augmentation and transfer in credit card fraud detection. J. Oper. Res. Soc. 73(1): 153-180 (2022) - [j1]Tyler Cody, Stephen C. Adams, Peter A. Beling:
Empirically Measuring Transfer Distance for System Design and Operation. IEEE Syst. J. 16(3): 4962-4973 (2022) - [c16]Tyler Cody:
Homomorphisms Between Transfer, Multi-task, and Meta-learning Systems. AGI 2022: 199-208 - [c15]Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling:
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. AGI 2022: 209-219 - [c14]Tyler Cody, Stephen C. Adams, Peter A. Beling, Laura J. Freeman:
On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems. COINS 2022: 1-6 - [c13]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark, Christopher Redino:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. COINS 2022: 1-8 - [c12]Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen:
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC 2022: 1-8 - [c11]Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman:
Active Learning with Combinatorial Coverage. ICMLA 2022: 1129-1136 - [c10]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA 2022: 1350-1357 - [c9]Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman:
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. ICST Workshops 2022: 102-109 - [c8]Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling:
Closed Systems Paradigm for Intelligent Systems. SysCon 2022: 1-8 - [i11]Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen:
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR abs/2201.12416 (2022) - [i10]Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman:
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. CoRR abs/2201.12428 (2022) - [i9]Tyler Cody:
A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs. CoRR abs/2206.06934 (2022) - [i8]Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling:
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. CoRR abs/2208.02837 (2022) - [i7]Tyler Cody:
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems. CoRR abs/2208.03316 (2022) - [i6]Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen:
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR abs/2211.03027 (2022) - 2021
- [c7]Tyler Cody:
Mesarovician Abstract Learning Systems. AGI 2021: 55-64 - [c6]Tyler Cody, Stephen C. Adams, Peter A. Beling:
Trade-offs in Metric Learning for Bearing Fault Diagnosis. ICMLA 2021: 1100-1105 - [c5]Stephen C. Adams, Tyler Cody, Peter A. Beling:
Pareto-Optimal Active Learning with Cost. SMC 2021: 1519-1526 - [c4]Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park:
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. SSCI 2021: 1-6 - [i5]Tyler Cody, Stephen C. Adams, Peter A. Beling:
Empirically Measuring Transfer Distance for System Design and Operation. CoRR abs/2107.01184 (2021) - [i4]Tyler Cody, Peter A. Beling:
A Systems Theory of Transfer Learning. CoRR abs/2107.01196 (2021) - [i3]Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark:
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR abs/2108.07124 (2021) - [i2]Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park:
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. CoRR abs/2108.09358 (2021) - [i1]Tyler Cody:
Mesarovician Abstract Learning Systems. CoRR abs/2111.14766 (2021) - 2020
- [c3]Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt:
Hierarchical Classification for Unknown Faults. ICPHM 2020: 1-8
2010 – 2019
- 2019
- [c2]Tyler Cody, Stephen C. Adams, Peter A. Beling, Sherwood Polter, Kevin Farinholt, Nathan Hipwell, Ali Chaudhry, Kennet Castillo, Ryan Meekins:
Transferring Random Samples in Actuator Systems for Binary Damage Detection. ICPHM 2019: 1-7 - [c1]Tyler Cody, Stephen C. Adams, Peter A. Beling:
A Systems Theoretic Perspective on Transfer Learning. SysCon 2019: 1-7
Coauthor Index
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