Adversarial Robustness of Convolutional Models Learned in the Frequency Domain.
IEEE International Conference on Acoustics, Speech, and Signal Processing（2024）
关键词
Frequency Domain,Adversarial Robustness,Adversarial Robustness Of Models,Neural Network,Convolutional Neural Network,Input Image,Semantic Features,Discrete Cosine Transform,Input RGB,Convolutional Neural Network Model,Frequency Region,Defense Strategy,Feasible Set,Image Domain,Low-frequency Region,Translation Invariance,ImageNet Dataset,Convolutional Neural Network Training,Adversarial Training,Incorrect Classification,Adversarial Examples,Adversarial Attacks,Adversarial Perturbations,Rotation Transformation,Input Transformation,Frequency Transformer,Fashion-MNIST,Image Rotation,Frequency-domain Model,Natural Images
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