Rajeev Sahay

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Dimensionality Reduction

Signal Detection

Final Classification

Top Venues

IEEE Trans. Cogn. Commun. Netw.

Publications

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)