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Rajeev Sahay
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A deep ensemble-based wireless receiver architecture for mitigating adversarial attacks in automatic modulation classification
R Sahay, CG Brinton, DJ Love
IEEE Transactions on Cognitive Communications and Networking 8 (1), 71-85, 2021
352021
Combatting adversarial attacks through denoising and dimensionality reduction: A cascaded autoencoder approach
R Sahay, R Mahfuz, A El Gamal
2019 53rd Annual conference on information sciences and systems (CISS), 1-6, 2019
352019
Robust automatic modulation classification in the presence of adversarial attacks
R Sahay, DJ Love, CG Brinton
2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2021
212021
Frequency-based automated modulation classification in the presence of adversaries
R Sahay, CG Brinton, DJ Love
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
112021
Hyperspectral image target detection using deep ensembles for robust uncertainty quantification
R Sahay, D Ries, JD Zollweg, CG Brinton
2021 55th asilomar conference on signals, systems, and computers, 1715-1719, 2021
72021
Non-intrusive detection of adversarial deep learning attacks via observer networks
KS Sivamani, R Sahay, A El Gamal
IEEE Letters of the Computer Society 3 (1), 25-28, 2020
72020
Efficient storage and processing of large guided wave data sets with random projections
S Kim, S Shiveley, ACS Douglass, Y Zhang, R Sahay, DO Adams, ...
Structural Health Monitoring 20 (5), 2513-2524, 2021
62021
Robust subject-independent P300 waveform classification via signal pre-processing and deep learning
R Sahay, CG Brinton
IEEE Access 9, 87579-87591, 2021
62021
A computationally efficient method for defending adversarial deep learning attacks
R Sahay, R Mahfuz, AE Gamal
arXiv preprint arXiv:1906.05599, 2019
62019
How potent are evasion attacks for poisoning federated learning-based signal classifiers?
S Wang, R Sahay, CG Brinton
ICC 2023-IEEE International Conference on Communications, 2376-2381, 2023
52023
Defending adversarial attacks on deep learning-based power allocation in massive mimo using denoising autoencoders
R Sahay, M Zhang, DJ Love, CG Brinton
IEEE Transactions on Cognitive Communications and Networking, 2023
32023
Uncertainty quantification-based unmanned aircraft system detection using deep ensembles
R Sahay, GC Birch, JJ Stubbs, CG Brinton
2022 IEEE 95th Vehicular Technology Conference:(VTC2022-Spring), 1-5, 2022
32022
Forest migration outpaces tree species range shift across North America
A Abbasi, C Woodall, J Gamarra, T Ochuodho, S de-Miguel, R Sahay, ...
32021
Mitigating gradient-based adversarial attacks via denoising and compression
R Mahfuz, R Sahay, AE Gamal
arXiv preprint arXiv:2104.01494, 2021
32021
Ensemble noise simulation to handle uncertainty about gradient-based adversarial attacks
R Mahfuz, R Sahay, AE Gamal
arXiv preprint arXiv:2001.09486, 2020
32020
An uncertainty quantification framework for counter unmanned aircraft systems using deep ensembles
R Sahay, JJ Stubbs, CG Brinton, GC Birch
IEEE Sensors Journal 22 (21), 20896-20909, 2022
22022
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions
R Sahay, S Appadwedula, DJ Love, CG Brinton
IEEE Communications Letters 26 (9), 2161-2165, 2022
22022
Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers
S Wang, R Sahay, A Piaseczny, CG Brinton
arXiv preprint arXiv:2306.04872, 2023
12023
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach
R Sahay, S Nicoll, M Zhang, TY Yang, C Joe-Wong, KA Douglas, ...
IEEE/ACM Transactions on Networking, 2023
12023
Forest types outpaced tree species in centroid-based range shifts under global change
AO Abbasi, CW Woodall, JGP Gamarra, C Hui, N Picard, T Ochuodho, ...
Frontiers in Ecology and Evolution 12, 1366568, 2024
2024
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