Cody Burkard

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Machine learning algorithms have been proven to be vulnerable to a special type of attack in which an active adversary manipulates the training data of the algorithm in order to reach some desired goal. Although this type of attack has been proven in previous work, it has not been examined in the context of a data stream, and no work has been done to study(More)
Applications and middleware in pervasive systems frequently rely on machine learning to provide adaptivity and customization that results in a seamless user experience despite operating in a dynamic environment. Machine learning algorithms have been shown to be vulnerable to covert, strategic attacks through the manipulation of training data. Machine(More)
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