Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images

Synthetic aperture radar (SAR) automatic target recognition (ATR) systems based on deep neural network Shampoo models are vulnerable to adversarial examples.Existing SAR adversarial attack algorithms require access to the network structure, parameters, and training data, which are often inaccessible in real-world scenarios.To address this problem,

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