Certifying Neural Network Audio Classifiers

ICLR 2020 Anonymous

We present the first end-to-end verifier of audio classifiers. Compared to existing methods, our approach enables analysis of both, the entire audio processing stage as well as recurrent neural network architectures (e.g., LSTM)... (read more)

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