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 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
Before that, I did my B.Sc. studies in computer science at EPFL and Carnegie Mellon University.