Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
A new analysis of railroad accident data reveals a recurring cycle of industry opposition and federal inaction to attempts to ...
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