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Showing 1 to 2 of 2 for “"Malware detector"”.
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Inferring Malware Detector Metrics in the Absence of Ground-Truth
Measuring metrics in relation to file-scanning malware detectors is an important problem, which is also extremely intriguing. The problem would be relatively straightforward to solve if malware ground-truth labels were readily available. However, malware ground-truth labels are extremely costly to …
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Towards Robust Deep Neural Networks
… the threat of Adversarial Examples in the malware domain, this research considers the problem of realising a robust DNN-based malware detector against Adversarial Example attacks by developing a Bayesian adversarial learning algorithm. In contrast to vision tasks, adversarial learning in a …