Data-Driven Subsampling in the Presence of an Adversarial Actor

no code implementations • 7 Jan 2024 • Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Jinho Yi, Aly El Gamal, Akshay Malhotra

In this paper, we investigate the effects of an adversarial attack on an AMC system that employs deep learning models both for AMC and for subsampling.

Adversarial Attack Adversarial Robustness

Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling

no code implementations • 3 Apr 2021 • Jinho Yi, Aly El Gamal

Automatic modulation classification can be a core component for intelligent spectrally efficient wireless communication networks, and deep learning techniques have recently been shown to deliver superior performance to conventional model-based strategies, particularly when distinguishing between a large number of modulation types.

General Classification