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Showing 1 to 3 of 3 for “"Adversarial Methods"”.

  1. Adversarial methods in machine learning - a federated defense and an attack

    … Unfortunately, neural networks are vulnerable to adversarial examples — inputs that are almost indistinguishable from natural data and yet elicit misclassification from the network. The focus of this thesis is to investigate the space of adversarial examples in hitherto novel applications. We …

    uiuc Repository record for Adversarial methods in machine learning - a federated defense and an attack (opens in a new tab)

  2. Context-Awareness for Adversarial and Defensive Machine Learning Methods in Cybersecurity

    … attacker modelling and context-aware defensive methods. Both areas use authentication methods to either infiltrate or protect digital systems. After a brief introduction in chapter 1, chapter 2 discusses the current extracted contextual information within cybersecurity studies, and how machine …

    ottawa-retro Repository record for Context-Awareness for Adversarial and Defensive Machine Learning Methods in Cybersecurity (opens in a new tab)

  3. Balancing utility and privacy of high-dimensional datasets : mobile phone metadata

    … Moreover, recent research has shown adversarial methods that successfully associate sensitive information in the datasets to individuals, even under pseudonymization of all personal identifiers. This thesis conceptualizes, relates, and generalizes salient methodologies for disclosure …

    mit Repository record for Balancing utility and privacy of high-dimensional datasets : mobile phone metadata (opens in a new tab)