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cs.LG2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense
Deyin Liu, Lin Wu, Haifeng Zhao +3
Deep neural networks (DNNs) are known to be vulnerable to adversarial examples that are crafted with imperceptible perturbations, i.e., a small change in an input image can induce…
cs.LG2020
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks
Deyin Liu, Lin Wu, Xue Li
In this paper, we present an effective deep prediction framework based on robust recurrent neural networks (RNNs) to predict the likely therapeutic classes of medications a patient…