news

02/2026 New preprint: ECHOSAT: Estimating Canopy Height Over Space And Time is out on arXiv. We built the first globally consistent temporal tree height map at 10m resolution. Turns out you can watch forests grow (and burn) from space. Joint work with J. Pauls, K. Schrödter, S. Ligensa, M. Schwartz, M. Zimmer, S. Saatchi, S. Pokutta, P. Ciais, and F. Gieseke.
09/2025 The Good, the Bad and the Ugly got accepted at NeurIPS 2025. We show that for almost every learning task, either a watermark or an adversarial defense must exist. Joint work with Grzegorz Głuch, Sai Ganesh Nagarajan, and Sebastian Pokutta.
06/2025 Neural Concept Verifier accepted at the ICML 2025 Workshop on Actionable Interpretability. We combine Prover-Verifier Games with concept encodings to get verifiable predictions on high-dimensional inputs. With S. Asadulla, D. Steinmann, K. Kersting, W. Stammer, and S. Pokutta.
05/2025 Our work on Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation got accepted at ICML 2025. First 10m resolution temporal canopy height map of Europe. With J. Pauls, M. Zimmer, S. Saatchi, P. Ciais, S. Pokutta, and F. Gieseke.
03/2025 The Good, the Bad and the Ugly accepted at the ICLR 2025 Workshop on GenAI Watermarking.
10/2024 Excited to announce that The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses is now available on arXiv! Many thanks to my collaborators, Grzegorz Głuch (EPFL at the time), Sai Ganesh Nagarajan (ZIB) and Sebastian Pokutta (ZIB), for their contributions to this project!
06/2024 Unified Taxonomy of AI Safety: Watermarks, Adversarial Defenses and Transferable Attacks got accepted at ICML 2024 Workshop on Theoretical Foundations of Foundation Models. See you in Vienna!
03/2024 Our recent paper, Interpretability Guarantees with Merlin-Arthur Classifiers, has been accepted at AISTATS 2024. Looking forward to meeting you in Valencia.
07/2023 I received the Best Proposal Award at the xAI-2023 Doctoral Consortium in Lisbon for my research on Extending Merlin-Arthur Classifiers for Improved Interpretability. Thank you to the reviewers and organizers!
09/2022 Excited to have started my PhD at TU Berlin and the Zuse Institute Berlin in the Interactive Optimization and Learning research lab, under the supervision of Sebastian Pokutta.