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Lina Alkarmi

Lina Alkarmi

Ph.D. Candidate

Department of Electrical Engineering and Computer Science
University of Michigan, Ann Arbor

Address: 1301 Beal Ave, Ann Arbor, MI, USA, 48105
E-mail: lalkarmi [at] umich [dot] edu

About Me

I am a Ph.D. candidate at the University of Michigan, Ann Arbor, where I am fortunate to be advised by Prof. Mingyan Liu. My research focuses on the intersection of game theory and machine learning, specifically aiming to improve the robustness of algorithmic decision-making systems against strategic manipulation. I am fortunate to be supported by an NSF graduate research fellowship.

Before coming to Michigan, I received my B.S. in Electrical Engineering from George Mason University. I have also spent time doing research at MIT, working on Bayesian filtering in chaotic systems.

Research Interests

Stochastic Control • Game Theory • Reinforcement Learning • Machine Learning • Cybersecurity

Publications

  1. Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
    Ziyuan Huang*, Lina Alkarmi*, and Mingyan Liu.
    International Conference on Machine Learning (ICML), 2026. (* Equal Contribution)
    [arXiv]
    [BibTeX] 
                @article{huang2026multilevel,
              title={Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics},
              author={Huang, Ziyuan and Alkarmi, Lina and Liu, Mingyan},
              journal={arXiv preprint arXiv:2602.11439 (To appear in ICML 2026)},
              year={2026}
            }
  2. Estimating the Social Cost of Corporate Data Breaches
    Lina Alkarmi, Armin Sarabi, and Mingyan Liu.
    Workshop on the Economics of Information Security (WEIS), 2026.
    [arXiv]
    [BibTeX] 
                @article{alkarmi2026estimating,
              title={Estimating the Social Cost of Corporate Data Breaches},
              author={Alkarmi, Lina and Sarabi, Armin and Liu, Mingyan},
              journal={arXiv preprint arXiv:2603.21270 (To appear in WEIS 2026)},
              year={2026}
            }
  3. When In Doubt, Abstain: The Impact of Abstention on Strategic Classification
    Lina Alkarmi, Ziyuan Huang, and Mingyan Liu.
    International Conference on Game Theory and Security for AI (GameSec), 2025.
    [Proceedings] [arXiv]
    [BibTeX] 
                @inproceedings{alkarmi2025abstain,
              title={When In Doubt, Abstain: The Impact of Abstention on Strategic Classification},
              author={Alkarmi, Lina and Huang, Ziyuan and Liu, Mingyan},
              booktitle={International Conference on Game Theory and Security for AI (GameSec)},
              pages={124--144},
              year={2025}
            }

Professional Services

  • Conference Reviewer: ICML and NeurIPS