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Rajeev Sahay

An Uncertainty Quantification Framework for Deep Learning-Based Automatic Modulation Classification

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Mar 06, 2025
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FLAME: A Federated Learning Approach for Multi-Modal RF Fingerprinting

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Mar 06, 2025
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Robust Eavesdropping in the Presence of Adversarial Communications for RF Fingerprinting

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Mar 06, 2025
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The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions

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Jan 20, 2025
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Mitigating Evasion Attacks in Federated Learning-Based Signal Classifiers

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Jun 08, 2023
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How Potent are Evasion Attacks for Poisoning Federated Learning-Based Signal Classifiers?

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Jan 21, 2023
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Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising Autoencoders

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Nov 29, 2022
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A Neural Network-Prepended GLRT Framework for Signal Detection Under Nonlinear Distortions

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Jun 15, 2022
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A Deep Ensemble-based Wireless Receiver Architecture for Mitigating Adversarial Interference in Automatic Modulation Classification

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Apr 08, 2021
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Mitigating Gradient-based Adversarial Attacks via Denoising and Compression

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Apr 03, 2021
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