Edoardo Debenedetti

Edoardo Debenedetti

Incoming Computer Science PhD Student

ETH Zürich

I am a Computer Science Ph.D. Student at ETH Zürich, advised by Florian Tramèr. My interest is in how the current (and future) research about the security and privacy of machine learning systems can be applied to real-world systems. My aim is to understand what the threat models look like in the real-world, and, based on that, understand which attacks are feasible, and what defenses are most effective.

I earned a Computer Science M.Sc. at EPFL, with a strong focus on Machine Learning and Security, and a Computer Engineering B.Sc. at PoliTo. I did my Master thesis about the robustness of Vision Transformers supervised by Princeton University’s Prof. Mittal, and I am one of the co-authors and maintainers of RobustBench, a standardized benchmark for adversarial robustness.

I had internship experiences at Bloomberg LP, as an SWE intern, and at armasuisse CYD Campus, as a Research Intern, supervised by Prof. Humbert.

I attended Military Navy College “F. Morosini”, in Venice, I am a member of LeadTheFuture, the leading mentoring program for STEM students in Italy, and I have been junior entrepreneur at JEToP.

Interests
  • Security and Privacy of Machine Learning in the real-world
Education
  • Ph.D. in Computer Science, To begin in 8/2022

    ETH Zürich - Swiss Federal Institute of Technology, Zürich, Switzerland 🇨🇭

  • M.Sc. in Computer Science, 2019 - 2022

    EPFL - Swiss Federal Institute of Technology, Lausanne, Switzerland 🇨🇭

  • B.Sc. in Computer Engineering, 2016 - 2019

    PoliTo - Politecnico di Torino, Italy 🇮🇹

  • Exchange Year, 2017 - 2018

    Tongji University, Shanghai, China 🇨🇳

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