Ethan Rathbun

According to our database, Ethan Rathbun authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Busting the Paper Ballot: Voting Meets Adversarial Machine Learning.

Kaleel Mahmood, Caleb Manicke, Ethan Rathbun, Aayushi Verma, Sohaib Ahmad, Nicholas Stamatakis, Laurent Michel, Benjamin Fuller

CoRR, June, 2025

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense.

Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning.

Ethan Rathbun, Christopher Amato, Alina Oprea

CoRR, 2024

Distilling Adversarial Robustness Using Heterogeneous Teachers.

Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar

CoRR, 2024

SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents.

Ethan Rathbun, Christopher Amato, Alina Oprea

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning.

Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk

CoRR, 2022

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

CoRR, 2022

Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks.

Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk

IEEE Access, 2022