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ORCIDRajeev Sahay
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2020 – today
- 2024
[c7]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: 297-303- 2023
- [j5]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): 913-926 (2023) - [j4]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): 2086-2100 (2023) - [c6]Su Wang, Rajeev Sahay, Christopher G. Brinton:
How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers? ICC 2023: 2376-2381 - [i7]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 abs/2301.01606 (2023) - 2022
- [j3]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): 2161-2165 (2022) - [j2]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): 71-85 (2022) - [c5]Rajeev Sahay, Gabriel C. Birch, Jaclynn J. Stubbs, Christopher G. Brinton:
Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles. VTC Spring 2022: 1-5 - 2021
- [j1]Rajeev Sahay, Christopher G. Brinton:
Robust Subject-Independent P300 Waveform Classification via Signal Pre-Processing and Deep Learning. IEEE Access 9: 87579-87591 (2021) - [c4]Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton:
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. ACSCC 2021: 1715-1719 - [c3]Rajeev Sahay, David J. Love, Christopher G. Brinton:
Robust Automatic Modulation Classification in the Presence of Adversarial Attacks. CISS 2021: 1-6 - [c2]Rajeev Sahay, Christopher G. Brinton, David J. Love:
Frequency-based Automated Modulation Classification in the Presence of Adversaries. ICC 2021: 1-6 - [i6]Rehana Mahfuz, Rajeev Sahay, Aly El Gamal:
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression. CoRR abs/2104.01494 (2021) - 2020
- [i5]Rehana Mahfuz, Rajeev Sahay, Aly El Gamal:
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks. CoRR abs/2001.09486 (2020) - [i4]Kirthi Shankar Sivamani, Rajeev Sahay, Aly El Gamal:
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks. CoRR abs/2002.09772 (2020) - [i3]Rajeev Sahay, Christopher G. Brinton, David J. Love:
Frequency-based Automated Modulation Classification in the Presence of Adversaries. CoRR abs/2011.01132 (2020)
2010 – 2019
- 2019
- [c1]Rajeev Sahay, Rehana Mahfuz, Aly El Gamal:
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. CISS 2019: 1-6 - [i2]Rajeev Sahay, Rehana Mahfuz, Aly El Gamal:
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks. CoRR abs/1906.05599 (2019) - 2018
- [i1]Rajeev Sahay, Rehana Mahfuz, Aly El Gamal:
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach. CoRR abs/1812.03087 (2018)
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