Abstract: Deep Neural Networks (DNNs) have demonstrated remarkable effectiveness in remote sensing (RS) image processing. However, they remain vulnerable to adversarial examples, which are generated ...
Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...
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