Lisa Oakley

PhD Student

Lisa Oakley
  • Adversarial Robustness of Machine Learning and Formal Methods (specifically the formal verification of adversarial robustness properties for larger systems which include machine learning components)
  • Reinforcement Learning (applications to Game theory for Security)
  • BS in Mathematics and Computer Science, Northeastern University

  • QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game

    Citation: Oakley L., Oprea A. (2019) QFlip: An Adaptive Reinforcement Learning Strategy for the FlipIt Security Game. In: Alpcan T., Vorobeychik Y., Baras J., Dán G. (eds) Decision and Game Theory for Security. GameSec 2019. Lecture Notes in Computer Science, vol 11836. Springer, Cham. https://doi.org/10.1007/978-3-030-32430-8_22