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 | 35 | 2021 |
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 | 35 | 2019 |
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 | 21 | 2021 |
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 | 11 | 2021 |
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 | 7 | 2021 |
Robust subject-independent P300 waveform classification via signal pre-processing and deep learning R Sahay, CG Brinton IEEE Access 9, 87579-87591, 2021 | 7 | 2021 |
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 | 7 | 2020 |
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 | 6 | 2021 |
A computationally efficient method for defending adversarial deep learning attacks R Sahay, R Mahfuz, AE Gamal arXiv preprint arXiv:1906.05599, 2019 | 6 | 2019 |
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 | 5 | 2023 |
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 | 3 | 2023 |
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 | 3 | 2022 |
Forest migration outpaces tree species range shift across North America A Abbasi, C Woodall, J Gamarra, T Ochuodho, S de-Miguel, R Sahay, ... | 3 | 2021 |
Mitigating gradient-based adversarial attacks via denoising and compression R Mahfuz, R Sahay, AE Gamal arXiv preprint arXiv:2104.01494, 2021 | 3 | 2021 |
Ensemble noise simulation to handle uncertainty about gradient-based adversarial attacks R Mahfuz, R Sahay, AE Gamal arXiv preprint arXiv:2001.09486, 2020 | 3 | 2020 |
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 | 2 | 2022 |
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 | 2 | 2022 |
Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers S Wang, R Sahay, A Piaseczny, CG Brinton arXiv preprint arXiv:2306.04872, 2023 | 1 | 2023 |
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 | 1 | 2023 |
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 |