Florian Tramèr

Florian Tramèr is an Assistant Professor in the Department of Computer Science at ETH Zurich. His research focuses on privacy, computer security, trustworthy machine learning, and applied cryptography. His work explores the intersection of these fields to develop secure and privacy-preserving technologies. Tramèr's research aims to address critical challenges in modern computing systems. His academic profile is available at https://inf.ethz.ch/utils/search.MjU5NzMw.html.

Florian Tramèr is an Assistant Professor of Computer Science at ETH Zurich, specializing in ML Security, Computer Security, Cryptography, and Privacy. His research focuses on understanding and mitigating risks associated with machine learning systems, particularly in areas such as federated learning, foundation models, and adversarial attacks. He investigates techniques for extracting training data from large language models and evaluates the robustness of machine learning models against adversarial examples. His work also explores privacy implications of AI systems, including membership inference attacks and differential privacy. Tramèr's research emphasizes the development of secure and privacy-preserving machine learning frameworks.