Simon Damm, M.Sc.

PhD Student

MC 5.126
simon.damm@rub.de

ELLIS PhD Student

Research Interests

  • Probabilistic generative modeling
  • Out-of-distribution & anomaly detection
  • Machine/Deep learning for spatiotemporal data

Publications

2026

Simon Damm, Jonas Ricker, Henning Petzka, Asja Fischer

PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images Proceedings Article

In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026.

Links

2025

Simon Damm, Asja Fischer, Alexander May, Soundes Marzougui, Leander Schwarz, Henning Seidler, Jean-Pierre Seifert, Jonas Thietke, Vincent Quentin Ulitzsch

Solving Concealed ILWE and its Application for Breaking Masked Dilithium Proceedings Article

In: Advances in Cryptology (ASIACRYPT 25), 2025.

Links

Simon Damm, Nicolai Kraus, Alexander May, Julian Nowakowski, Jonas Thietke

One Bit to Rule Them All - Imperfect Randomness Harms Lattice Signatures Proceedings Article

In: Public Key Cryptography (PKC '25), 2025.

Links

Simon Damm, Asja Fischer, Alexander May, Soundes Marzougui, Leander Schwarz, Henning Seidler, Jean-Pierre Seifert, Jonas Thietke, Vincent Quentin Ulitzsch

Solving Concealed ILWE and Its Application for Breaking Masked Dilithium Proceedings Article

In: International Conference on the Theory and Application of Cryptology and Information Security (ASIACRYPT), 2025.

Links

Simon Damm, Mike Laszkiewicz, Johannes Lederer, Asja Fischer

AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Proceedings Article

In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

Links

Sina Däubener, Simon Damm, Asja Fischer

ELBO, Regularized Maximum Likelihood, and Their Common One-Sample Approximation for Training Stochastic Neural Networks Proceedings Article

In: Conference on Uncertainty in Artificial Intelligence (UAI), 2025.

Links

Florian Lam, Simon Damm, Asja Fischer, Thomas Heinze

Exploring the Potential and Limitations of Machine Learning for Forecasting Groundwater Recharge from Meteorological Time Series Proceedings Article

In: AGU Annual Meeting, 2025.

Links

2024

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

Towards the Detection of Diffusion Model Deepfakes Proceedings Article

In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2024.

Links

Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke

Learning sparse codes with entropy-based ELBOs Proceedings Article

In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

Links

Jan Warnken, Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke

Generative Models with ELBOs Converging to Entropy Sums Artikel

In: arXiv Preprint, 2024.

Links

2023

Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke

The ELBO of Variational Autoencoders Converges to a Sum of Entropies Proceedings Article

In: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

Links