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author=Florian Tramèr;
description=Florian Tramèr is an assistant professor of Computer Science at ETH Zürich working on computer security, privacy and machine learning.;

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florian tramèr home florian tramèr home open positions publications talks teaching cv blog i am an assistant professor of computer science at eth zürich where i lead the spy lab my research interests lie in computer security machine learning and cryptography in my current work i study the worst case behavior of deep learning systems from an adversarial perspective to understand and mitigate long term threats to the safety and privacy of users to learn more about our lab s work see here or take a look at our blog my work has been featured in the economist nature science communications of the acm wired and the swiss news in french i received my phd from stanford university under the supervision of dan boneh after graduating i spent one year at google brain email office universitätstrasse 6 cab f72 ch 8092 zürich twitter google scholar linkedin current group avital shafran postdoc daniel paleka phd student edoardo debenedetti phd student javier rando phd student anthropic michael aerni phd student jie zhang phd student kristina nikolić phd student lukas fluri phd student pura peetathawatchai phd student news i gave an impromptu keynote at the real world ai security conference on the security turing test i also posted a written version on our blog i am co chairing satml 2027 with fabio pierazzi submit your best work on secure and trustworthy machine learning we launched a new event the real world ai security conference at stanford on june 23 25 2026 to hear about great work with real world impact at the intersection of ai and security some of my recorded talks the security turing test real world ai security keynote stanford cybersecurity in the age of llms irisa 50th anniversary the weird chatgpt hack that leaked training data machine learning street talk with yannic kilcher making machine learning fail my inaugural lecture un aligning large language models epfl applied machine learning days measuring and enhancing the security of machine learning my job talk adversarial examples machine learning street talk with yannic kilcher and tim scarfe slalom fast verifiable and private execution of neural networks in trusted hardware iclr