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Rajeev Sahay
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 19
Top Topics
Deep Learning
Dimensionality Reduction
Signal Detection
Final Classification
Top Venues
CoRR
ICC
IEEE Trans. Cogn. Commun. Netw.
CISS
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Publications
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Anurata Prabha Hridi
,
Rajeev Sahay
,
Seyyedali Hosseinalipour
,
Bita Akram
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems.
AAAI Spring Symposia
(2024)
Rajeev Sahay
,
Serena Nicoll
,
Minjun Zhang
,
Tsung-Yen Yang
,
Carlee Joe-Wong
,
Kerrie A. Douglas
,
Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.
IEEE/ACM Trans. Netw.
31 (5) (2023)
Su Wang
,
Rajeev Sahay
,
Christopher G. Brinton
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?
ICC
(2023)
Rajeev Sahay
,
Minjun Zhang
,
David J. Love
,
Christopher G. Brinton
Defending Adversarial Attacks on Deep Learning-Based Power Allocation in Massive MIMO Using Denoising Autoencoders.
IEEE Trans. Cogn. Commun. Netw.
9 (4) (2023)
Rajeev Sahay
,
Serena Nicoll
,
Minjun Zhang
,
Tsung-Yen Yang
,
Carlee Joe-Wong
,
Kerrie A. Douglas
,
Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.
CoRR
(2023)
Rajeev Sahay
,
Swaroop Appadwedula
,
David J. Love
,
Christopher G. Brinton
A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions.
IEEE Commun. Lett.
26 (9) (2022)
Rajeev Sahay
,
Gabriel C. Birch
,
Jaclynn J. Stubbs
,
Christopher G. Brinton
Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles.
VTC Spring
(2022)
Rajeev Sahay
,
Christopher G. Brinton
,
David J. Love
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification.
IEEE Trans. Cogn. Commun. Netw.
8 (1) (2022)
Rajeev Sahay
,
Daniel Ries
,
Joshua D. Zollweg
,
Christopher G. Brinton
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification.
ACSCC
(2021)
Rajeev Sahay
,
David J. Love
,
Christopher G. Brinton
Robust Automatic Modulation Classification in the Presence of Adversarial Attacks.
CISS
(2021)
Rajeev Sahay
,
Christopher G. Brinton
,
David J. Love
Frequency-based Automated Modulation Classification in the Presence of Adversaries.
ICC
(2021)
Rehana Mahfuz
,
Rajeev Sahay
,
Aly El Gamal
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression.
CoRR
(2021)
Rajeev Sahay
,
Christopher G. Brinton
Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning.
IEEE Access
9 (2021)
Rehana Mahfuz
,
Rajeev Sahay
,
Aly El Gamal
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks.
CoRR
(2020)
Rajeev Sahay
,
Christopher G. Brinton
,
David J. Love
Frequency-based Automated Modulation Classification in the Presence of Adversaries.
CoRR
(2020)
Kirthi Shankar Sivamani
,
Rajeev Sahay
,
Aly El Gamal
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks.
CoRR
(2020)
Rajeev Sahay
,
Rehana Mahfuz
,
Aly El Gamal
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach.
CISS
(2019)
Rajeev Sahay
,
Rehana Mahfuz
,
Aly El Gamal
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks.
CoRR
(2019)
Rajeev Sahay
,
Rehana Mahfuz
,
Aly El Gamal
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach.
CoRR
(2018)