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

• 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