From the 1 of 6 linked papers with an AI index.
6 papers
Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber Agents
Ankita Samaddar, Sandeep Neema, Daniel Balasubramanian +1
The paper proposes an imitation‑learning method to infer the policy of a hidden red‑team attacker in partially observable network environments, and integrates this prediction into…
Reward Shaping and Action Masking for Compositional Tasks using Behavior Trees and LLMs
Nicholas Potteiger, Ankita Samaddar, Taylor T. Johnson +1
Decomposing complex tasks into a sequence of simpler subtasks can improve learning efficiency for an autonomous agent. Reinforcement learning (RL) can be used to optimize agent pol…
Building Better Environments for Autonomous Cyber Defence
Chris Hicks, Elizabeth Bates, Shae McFadden +12
In November 2025, the authors ran a workshop on the topic of what makes a good reinforcement learning (RL) environment for autonomous cyber defence (ACD). This paper details the kn…
Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
Ankita Samaddar, Nicholas Potteiger, Xenofon Koutsoukos
Autonomous agents for cyber applications take advantage of modern defense techniques by adopting intelligent agents with conventional and learning-enabled components. These intelli…
Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
Nicholas Potteiger, Ankita Samaddar, Hunter Bergstrom +1
Modern network defense can benefit from the use of autonomous systems, offloading tedious and time-consuming work to agents with standard and learning-enabled components. These age…
A Location Validation Technique to Mitigate GPS Spoofing Attacks in IEEE 802.11p based Fleet Operator's Network of Electric Vehicles
Ankita Samaddar, Arvind Easwaran
Most vehicular applications in electric vehicles use IEEE 802.11p protocol for vehicular communications. Vehicle rebalancing application is one such application that has been used…