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01/08/2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks
Machine Learning (ML) models are known to be vulnerable to adversarial i...
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05/14/2019
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)
Traditional metrics for evaluating the efficacy of image processing tech...
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05/13/2019
Leveraging synthetic imagery for collision-at-sea avoidance
Maritime collisions involving multiple ships are considered rare, but in...
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05/10/2019
Ship classification from overhead imagery using synthetic data and domain adaptation
In this paper, we revisit the problem of classifying ships (maritime ves...
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12/18/2013