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Adversarial Vulnerability of Deep Learning Models in Analyzing Next Generation Sequencing Data

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2020)

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adversarial vulnerability,deep learning models,next generation sequencing data,synthetic profile classifier,core genome multilocus sequence typing,methicillin resistance classification network,DNN model,multiple adversarial attacks,MRCN model,generic synthetic Staph bacteria,natural Staph bacteria,antibiotic named methicillin,cgMLST profiles,fake super-bug outbreak,bioterrorist,infectious pathogens,deep neural networks
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