edoardo.science - Edoardo Debenedetti

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Description: PhD Student at ETH Zürich

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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 .

Links to edoardo.science (4)

• floriantramer.com Florian Tramèr | Home
• vsehwag.github.io Vikash Sehwag - Academic webpage
• robustbench.github.io RobustBench: Adversarial robustness benchmark
• jailbreakbench.github.io JailbreakBench: LLM robustness benchmark