Florian Tramèr

• Program

  AI Safety Science

• Institution

  ETH Zürich

• Location

  USA

Dr. Florian Tramèr is an Assistant Professor of Computer Science at ETH Zürich, specializing in security, privacy, and robustness in machine learning. His research explores vulnerabilities in machine learning systems and develops innovative defenses, notably focusing on privacy risks and adversarial robustness in large language models and generative AI. He earned his Ph.D. in Computer Science from Stanford University under Professor Dan Boneh, where his dissertation tackled security and privacy challenges in machine learning.
Dr. Tramer’s work has received significant recognition, including Best Paper Awards at top conferences like ICML, NeurIPS, and USENIX Security. He has been honored with the AdvML Rising Star Award and multiple prestigious grants such as the Google Research Scholar Award and the Amazon Research Award. Beyond academia, Florian co-founded Invariant Labs and serves as an academic advisor, actively contributing to both theoretical advancements and practical applications in secure and trustworthy AI.
Through his funded project, Dr. Tramer will design guardrails against prompt injection attacks, a phenomenon where an AI system encounters text that instructs it to act in unintended and malicious ways, and develop a formal programming framework to standardize these guardrails.