Ethan Rathbun

2022202320244 16 6

Kaleel MahmoodAssistant Professor in Residence, University of ConnecticutVerified email at uconn.edu
Caiwen DingAssistant Professor, University of ConnecticutVerified email at uconn.edu
Wujie WenAssociate Professor, Department of Computer Science, NC State UniversityVerified email at ncsu.edu
Jinbo BiUniversity of ConnecticutVerified email at uconn.edu
Marten van DijkComputer Security, CWI, Amsterdam; Vrije Universiteit van Amsterdam; ECE Department UConn

Ethan Rathbun

PhD Student, Northeastern University

Verified email at northeastern.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Back in black: A comparative evaluation of recent state-of-the-art black-box attacks K Mahmood, R Mahmood, E Rathbun, M van Dijk IEEE Access 10, 998-1019, 2021	16	2021
Securing the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples N Xu, K Mahmood, H Fang, E Rathbun, C Ding, W Wen arXiv e-prints, arXiv: 2209.03358, 2022	9	2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning E Rathbun, K Mahmood, S Ahmad, C Ding, M Van Dijk arXiv preprint arXiv:2211.14669, 2022	1	2022
Distilling Adversarial Robustness Using Heterogeneous Teachers J Deng, A Palmer, R Mahmood, E Rathbun, J Bi, K Mahmood, D Aguiar arXiv preprint arXiv:2402.15586, 2024		2024
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples N Xu, K Mahmood, H Fang, E Rathbun, C Ding, W Wen arXiv preprint arXiv:2209.03358, 2022		2022

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