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Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

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