Browsing by Subject Machine Learning

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  • Authors: Mcgraw, G.;  Advisor: -;  Participants: Bonett, R.; Figueroa, H.; Shepardson, V. (2019)

  • Artificial intelligence is in the midst of a popular resurgence in the guise of machine learning (ML). Neural networks and deep learning architectures have been shown empirically to solve many real-world problems. We ask what kinds of risks ML systems pose in terms of security engineering and software security.