Ethan Rathbun - RankMe

17 papers A* 3A 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beware Untrusted Simulators - Reward-Free Backdoor Attacks in Reinforcement Learning. CoRR Ethan Rathbun, Wo Wei Lin, Alina Oprea, Christopher Amato
2026	J	`jnl`	Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models. CoRR Harsh Chaudhari, Ethan Rathbun, Hanna Foerster, Jamie Hayes, Matthew Jagielski, Milad Nasr, Ilia Shumailov, Alina Oprea
2025	A*	`conf`	Adversarial Inception Backdoor Attacks against Reinforcement Learning. ICML Ethan Rathbun, Alina Oprea, Christopher Amato
2025	J	`jnl`	Attacking the spike: On the security of spiking neural networks to adversarial examples. Neurocomputing Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen
2025	A*	`conf`	Busting the Paper Ballot: Voting Meets Adversarial Machine Learning. CCS Kaleel Mahmood, Caleb Manicke, Ethan Rathbun, Aayushi Verma, Sohaib Ahmad, Nicholas Stamatakis, Laurent Michel, Benjamin Fuller
2025	J	`jnl`	Busting the Paper Ballot: Voting Meets Adversarial Machine Learning. CoRR Kaleel Mahmood, Caleb Manicke, Ethan Rathbun, Aayushi Verma, Sohaib Ahmad, Nicholas Stamatakis, Laurent Michel, Benjamin Fuller
2025	J	`jnl`	Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning. IEEE Access Kaleel Mahmood, Ethan Rathbun, Ronak Sahu, Marten van Dijk, Sohaib Ahmad, Caiwen Ding
2025	A	`conf`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. AAMAS Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Peter Chin, Alina Oprea
2024	J	`jnl`	Adversarial Inception for Bounded Backdoor Poisoning in Deep Reinforcement Learning. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2024	J	`jnl`	Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
2024	J	`jnl`	Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense. CoRR Aditya Vikram Singh, Ethan Rathbun, Emma Graham, Lisa Oakley, Simona Boboila, Alina Oprea, Peter Chin
2024	A*	`conf`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. NeurIPS Ethan Rathbun, Christopher Amato, Alina Oprea
2024	J	`jnl`	SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents. CoRR Ethan Rathbun, Christopher Amato, Alina Oprea
2022	J	`jnl`	Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. IEEE Access Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk
2022	J	`jnl`	Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning. CoRR Ethan Rathbun, Kaleel Mahmood, Sohaib Ahmad, Caiwen Ding, Marten van Dijk
2022	J	`jnl`	Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen
2021	J	`jnl`	Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks. CoRR Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk