From Sound Representation to Model Robustness

27 Jul 2020Mohammad EsmaeilpourPatrick CardinalAlessandro Lameiras Koerich

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)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper