Leo Schwinn

I’m a Lecturer at the Technical University of Munich, 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, receiving the ATE dissertation price. During my PhD I 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

• February, 2025: We are presenting one paper at CVPR 2025 :-), In Joint Out-of-Distribution Filtering and Data Discovery Active Learning, we introduce Joda, the first active learning approach to handle both out-of-distribution data and new category discovery at the same time.

• January, 2025: We are presenting two papers at ICLR 2025! A probabilistic perspective into unlearning in LLMs, where we reveal that current evaluations are unreliabe. Moreover, we introduce a novel probabilistic time series forcasting algorithm combining Gaussian Process priors and flow matching

• 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