From Sound Representation to Model Robustness

In this paper, we demonstrate the extreme vulnerability of a residual deep neural network architecture (ResNet-18) against adversarial attacks in time-frequency representations of audio signals. We evaluate MFCC, short time Fourier transform (STFT), and discrete wavelet transform (DWT) to modulate environmental sound signals in 2D representation spaces... (read more)

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