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Deep learning has been found to be vulnerable to changes in the data distribution. This means that inputs that have an imperceptibly and immeasurably small difference from training data correspond to a completely different class label in deep learning. Thus an existing deep learning network like a Convolutional Neural Network (CNN) is vulnerable to adversarial examples. We design an adversarial learning...
Logistics service supply chain is different from finished goods inventory supply chain, in which supplier-buyer coordination is approached only through logistics capability adjustment and optimization. In this paper, a coordination mechanism through options contract on logistics capability under Stackelberg game model is developed to increase the partiespsila expected profit. Results show that the...
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