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Matteo Boglioni

Computer Science MSc Student at ETH Zürich.
I’m particularly interested in red-teaming and model auditing as proactive techniques to uncover existing models’ vulnerabilities. I aim to assess and expose these flaws and inconsistencies, both in performance and security, to increase robustness and reliability towards distribution shifts, adversarial inputs, and unintended behaviors. I believe this step is crucial for a responsible and ethical deployment of AI.

📄 Resume 🔍 Research Statement

EXPERIENCE

  • 2025-03 – 2025-09

    Carnegie Mellon University, Visiting Research Scholar

  • 2023 – 2025

    ETH Zürich, Computer Science MSc, Machine Intelligence

  • 2023-01 – 2023-05

    University Of Wisconsin-Madison, ECE Visiting Student

  • 2020 – 2023

    Politecnico di Milano, Engineering Of Computing Systems BSc

RESEARCH INTERESTS

  • Machine Learning Privacy and Security
  • LLMs Robustness and Generalization
  • Privacy

HOBBIES

  • CLIMBING

    85%

  • ROAD CYCLING

    75%

  • VIDEOMAKING

    60%

  • TRAVELING & BACKPACKING

    100%
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RECENT PUBLICATIONS

[All Publications]
  1. Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
    In Workshop on Theory and Practice of Differential Privacy, 2025