Tyler Cody

Orcid: 0000-0001-9215-5816

According to our database1, Tyler Cody authored at least 32 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning.
CoRR, 2024

Discovering Command and Control Channels Using Reinforcement Learning.
CoRR, 2024

2023
Whole Campaign Emulation with Reinforcement Learning for Cyber Test.
IEEE Instrum. Meas. Mag., August, 2023

A Systems Theory of Transfer Learning.
IEEE Syst. J., March, 2023

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space.
CoRR, 2023

A Systems-Theoretical Formalization of Closed Systems.
CoRR, 2023

Test & Evaluation Best Practices for Machine Learning-Enabled Systems.
CoRR, 2023

Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

Transfer Distance and Operating Envelopes to Detect Non-Stationarity in Cyber Environments.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Cascading Negative Transfer in Networks of Machine Learning Systems.
Proceedings of the IEEE International Conference on Assured Autonomy, 2023

Enhancing Exfiltration Path Analysis Using Reinforcement Learning.
Proceedings of the Conference on Applied Machine Learning in Information Security, 2023

2022
Empirically Measuring Transfer Distance for System Design and Operation.
IEEE Syst. J., 2022

Generative adversarial networks for data augmentation and transfer in credit card fraud detection.
J. Oper. Res. Soc., 2022

A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs.
CoRR, 2022

A survey of inverse reinforcement learning.
Artif. Intell. Rev., 2022

Closed Systems Paradigm for Intelligent Systems.
Proceedings of the IEEE International Systems Conference, 2022

Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing.
Proceedings of the 15th IEEE International Conference on Software Testing, 2022

Active Learning with Combinatorial Coverage.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Using Cyber Terrain in Reinforcement Learning for Penetration Testing.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

On Valuing the Impact of Machine Learning Faults to Cyber-Physical Production Systems.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

Core and Periphery as Closed-System Precepts for Engineering General Intelligence.
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

Homomorphisms Between Transfer, Multi-task, and Meta-learning Systems.
Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021
Using Cyber Terrain in Reinforcement Learning for Penetration Testing.
CoRR, 2021

Crown Jewels Analysis using Reinforcement Learning with Attack Graphs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Pareto-Optimal Active Learning with Cost.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Trade-offs in Metric Learning for Bearing Fault Diagnosis.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Mesarovician Abstract Learning Systems.
Proceedings of the Artificial General Intelligence - 14th International Conference, 2021

2020
Hierarchical Classification for Unknown Faults.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019
A Systems Theoretic Perspective on Transfer Learning.
Proceedings of the 2019 IEEE International Systems Conference, 2019

Transferring Random Samples in Actuator Systems for Binary Damage Detection.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019


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