SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks
ACM Transactions on the Web, pp. 1-28, 2020.
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Abstract:
Sharing a pre-trained machine learning model, particularly a deep neural network via prediction APIs, is becoming a common practice on machine learning as a service (MLaaS) platforms nowadays. Although deep neural networks (DNN) have shown remarkable successes in many tasks, they are also criticized for the lack of interpretability and tr...More
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