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02/28/2023
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error
Machine learning models are increasingly used in practice. However, many...
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02/28/2023
Active Learning with Combinatorial Coverage
Active learning is a practical field of machine learning that automates ...
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11/06/2022
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain
Reinforcement learning (RL) operating on attack graphs leveraging cyber ...
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08/04/2022
Core and Periphery as Closed-System Precepts for Engineering General Intelligence
Engineering methods are centered around traditional notions of decomposi...
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08/04/2022
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems
Transfer learning, multi-task learning, and meta-learning are well-studi...
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06/14/2022
A Layered Reference Model for Penetration Testing with Reinforcement Learning and Attack Graphs
This paper considers key challenges to using reinforcement learning (RL)...
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01/28/2022
Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing
This paper demonstrates the systematic use of combinatorial coverage for...
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01/28/2022
Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs
Reinforcement learning (RL), in conjunction with attack graphs and cyber...
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11/29/2021
Mesarovician Abstract Learning Systems
The solution methods used to realize artificial general intelligence (AG...
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08/20/2021
Crown Jewels Analysis using Reinforcement Learning with Attack Graphs
Cyber attacks pose existential threats to nations and enterprises. Curre...
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08/16/2021
Using Cyber Terrain in Reinforcement Learning for Penetration Testing
Reinforcement learning (RL) has been applied to attack graphs for penetr...
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07/02/2021
A Systems Theory of Transfer Learning
Existing frameworks for transfer learning are incomplete from a systems ...
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07/02/2021
