Lisa Oakley
PhD Student
Research Interests
- 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)
Education
- BS in Mathematics and Computer Science, Northeastern University
Recent Publications
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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