Leo Schwinn

I’m a Postdoc at the Technical University of Munich and the Munich Data Science Institute, interested in robust machine learning with a focus on data-efficient learning and robustness vulnerabilities of Large Language Models (LLMs).

Previously, I did my Ph.D. at Friedrich-Alexander University Erlangen-Nürnberg (FAU) under the supervision of Prof. Björn Eskofier and conducted an internship under the supervision of Prof. Doina Precup at the Mila Quebec AI Institute. After my PhD, I worked as a Postdoc at FAU and as a machine learning engineer at Robert Bosch on robust computer vision for autonomous driving.

News

• September, 2024: Happy to have three papers accepted at NeurIPS 2024!, we explore new threat models in LLMs, propose the first efficient adversarial training algorithm for LLMs, and explore scaling properties of Lipschitz-1 neural networks

• June, 2024: Position is filled! Open PhD position available at my research group at the chair of Prof. Stephan Günnemann! For more information, see [here](/files/E13_Geomar.pdf)

• December, 2023: I am one of the review process chairs of the 2024 Conference on Lifelong Learning Agents (CoLLAs). Looking forward to see everyone in Pisa!

• November, 2023: I will start as a Postdoc at the Technical University of Munich and Munich Data Science Institute in the Data Analytics and Machine Learning group supervised by Prof. Stephan Günnemann

• October, 2023: We will present “Adversarial Attacks and Defenses in Large Language Models: Old and New Threats” as a spotlight presentation at NeurIPS 2023 I Can’t Believe It’s Not Better (ICBINB): Failure Modes in the Age of Foundation Models Workshop.

• October, 2023: I’m now a member of ELLIS - the European Laboratory for Learning and Intelligent Systems

• April, 2023: I am an organizer / track chair of the ICLR Blogpost track 2024