Rajeev Sahay
Orcid: 0000-0001-6823-1364
According to our database1,
Rajeev Sahay
authored at least 15 papers
between 2019 and 2023.
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Bibliography
2023
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.
IEEE/ACM Trans. Netw., October, 2023
Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders.
IEEE Trans. Cogn. Commun. Netw., August, 2023
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
Proceedings of the IEEE International Conference on Communications, 2023
2022
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification.
IEEE Trans. Cogn. Commun. Netw., 2022
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions.
IEEE Commun. Lett., 2022
Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
2021
CoRR, 2021
Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning.
IEEE Access, 2021
Proceedings of the ICC 2021, 2021
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
CoRR, 2020
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks.
CoRR, 2020
2019
CoRR, 2019
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019