Tyler Cody

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Penetration Testing

Classification Error

Reinforcement Learning

Top Venues

Publications

Tyler Cody, Peter A. Beling
Towards a Process Algebra and Operator Theory for Learning System Objects. AGI (2024)
Tyler Cody, Bingtong Li, Peter A. Beling
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. SysCon (2024)
D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman
Assured Autonomy Through Combinatorial Methods. Computer 57 (5) (2024)
Anli du Preez, Peter A. Beling, Tyler Cody
A Systems Theoretic Approach to Online Machine Learning. SysCon (2024)
Tyler Cody, Bingtong Li, Peter A. Beling
On Extending the Automatic Test Markup Language (ATML) for Machine Learning. CoRR (2024)
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 (2024)
Anli du Preez, Peter A. Beling, Tyler Cody
A Systems Theoretic Approach to Online Machine Learning. CoRR (2024)
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 (2024)
Tyler Cody, Peter A. Beling
Cascading Negative Transfer in Networks of Machine Learning Systems. ICAA (2023)
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)
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)
Tyler Cody, Peter A. Beling
A Systems Theory of Transfer Learning. IEEE Syst. J. 17 (1) (2023)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. CoRR (2023)
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR (2023)
Tyler Cody, Laura J. Freeman
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. ICSTW (2023)
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 (2023)
Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
A Systems-Theoretical Formalization of Closed Systems. CoRR (2023)
Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman
Test & Evaluation Best Practices for Machine Learning-Enabled Systems. CoRR (2023)
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) (2023)
Tyler Cody, Laura J. Freeman
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error. CoRR (2023)
Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. CoRR (2022)
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 (2022)
Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter A. Beling
Closed Systems Paradigm for Intelligent Systems. SysCon (2022)
Stephen C. Adams, Tyler Cody, Peter A. Beling
A survey of inverse reinforcement learning. Artif. Intell. Rev. 55 (6) (2022)
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)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Empirically Measuring Transfer Distance for System Design and Operation. IEEE Syst. J. 16 (3) (2022)
Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. AGI (2022)
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)
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. CoRR (2022)
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) (2022)
Tyler Cody
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems. CoRR (2022)
Tyler Cody
Homomorphisms Between Transfer, Multi-task, and Meta-learning Systems. AGI (2022)
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 (2022)
Tyler Cody
A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs. CoRR (2022)
Sai Prathyush Katragadda, Tyler Cody, Peter A. Beling, Laura J. Freeman
Active Learning with Combinatorial Coverage. ICMLA (2022)
Tyler Cody, Erin Lanus, Daniel D. Doyle, Laura J. Freeman
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing. ICST Workshops (2022)
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)
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)
Rohit Gangupantulu, Tyler Cody, Paul Park, Abdul Rahman, Logan Eisenbeiser, Dan Radke, Ryan Clark
Using Cyber Terrain in Reinforcement Learning for Penetration Testing. CoRR (2021)
Tyler Cody
Mesarovician Abstract Learning Systems. CoRR (2021)
Tyler Cody, Peter A. Beling
A Systems Theory of Transfer Learning. CoRR (2021)
Rohit Gangupantulu, Tyler Cody, Abdul Rahma, Christopher Redino, Ryan Clark, Paul Park
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. SSCI (2021)
Stephen C. Adams, Tyler Cody, Peter A. Beling
Pareto-Optimal Active Learning with Cost. SMC (2021)
Rohit Gangupantulu, Tyler Cody, Abdul Rahman, Christopher Redino, Ryan Clark, Paul Park
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs. CoRR (2021)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Trade-offs in Metric Learning for Bearing Fault Diagnosis. ICMLA (2021)
Tyler Cody, Stephen C. Adams, Peter A. Beling
Empirically Measuring Transfer Distance for System Design and Operation. CoRR (2021)
Tyler Cody
Mesarovician Abstract Learning Systems. AGI (2021)
Stephen C. Adams, Tyler Cody, Peter A. Beling, Sherwood Polter, Kevin Farinholt
Hierarchical Classification for Unknown Faults. ICPHM (2020)
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)
Tyler Cody, Stephen C. Adams, Peter A. Beling
A Systems Theoretic Perspective on Transfer Learning. SysCon (2019)