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Cost Aware Adversarial Learning

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IEEE ICASSP 2020 Virtual Conference May 2020
The problem of making the classifier design resilient to test data falsification is considered. In the literature, a few countermeasures have been proposed to defend machine learning algorithms against test data falsification, but a common assumption empl
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Cost Aware Adversarial Learning

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The problem of making the classifier design resilient to test data falsification is considered. In the literature, a few countermeasures have been proposed to defend machine learning algorithms against test data falsification, but a common assumption empl