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Florian Tramèr

I am a second year PhD student in Computer Science at Stanford University advised by Dan Boneh.

My research interests lie in Computer Security, Machine Learning and Cryptography. Recently, I've analyzed attacks on machine learning systems and elaborated new defenses (see Ensemble Adversarial Training and Model Stealing Attacks). I built the Slalom system that accelerates deep learning inference in trusted execution environments, and worked on Hydra and GasToken in the cryptocurrency space.

I am grateful for the generous support of the Swiss National Science Foundation and the Open Philanthropy Project.

I graduated from EPFL in 2015 with a M.Sc. in computer science and worked an additional year as a research assistant hosted by Professor Jean-Pierre Hubaux. During my master studies, I was generously supported by an EPFL Excellence Fellowship as well as through a MSc Research Scholarship under the supervision of Professor Serge Vaudenay.
Before that, I did my B.Sc. studies in computer science at EPFL and Carnegie Mellon University.