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Shao Huang

2 accepted papers

2024

Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability

ICASSP 2024accepted

Deep Neural Networks (DNNs) are known to be vulnerable to adversarial examples, which are crafted by adding imperceptible perturbations to clean examples. With the wide applications of DNNs to Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR), the vulnerability of SAR deep recognitio…

Cited by 0SourceScholar
2022

Position-Invariant Adversarial Attacks on Neural Modulation Recognition

ICASSP 2022accepted

Deep neural networks (DNNs) are widely used for neural modulation recognition (NMR) in the electronic field and have been shown to be vulnerable to adversarial examples for NMR. In the physical signal communication scenario, the adversarial signal transmitted by the adversary is affected by the chan…

Cited by 0SourceScholar