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
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.
@inproceedings{nokey,
title = {Solving Concealed ILWE and its Application for Breaking Masked Dilithium},
author = {Simon Damm and Asja Fischer and Alexander May and Soundes Marzougui and Leander Schwarz and Henning Seidler and Jean-Pierre Seifert and Jonas Thietke and Vincent Quentin Ulitzsch},
url = {https://eprint.iacr.org/2025/1629.pdf, Paper},
year = {2025},
date = {2025-12-01},
urldate = {2025-12-01},
booktitle = {Advances in Cryptology (ASIACRYPT 25)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{nokey,
title = {One Bit to Rule Them All - Imperfect Randomness Harms Lattice Signatures},
author = {Simon Damm and Nicolai Kraus and Alexander May and Julian Nowakowski and Jonas Thietke},
url = {https://eprint.iacr.org/2025/820.pdf, Paper
https://iacr.org/submit/files/slides/2025/pkc/pkc2025/144/144_slides.pdf, Slides
https://link.springer.com/chapter/10.1007/978-3-031-91820-9_10, DOI},
year = {2025},
date = {2025-05-01},
urldate = {2025-05-01},
booktitle = {Public Key Cryptography (PKC '25)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{Damm2025AnomalyDINOBoosting,
title = {AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2},
author = {Simon Damm and Mike Laszkiewicz and Johannes Lederer and Asja Fischer},
url = {https://openaccess.thecvf.com/content/WACV2025/html/Damm_AnomalyDINO_Boosting_Patch-Based_Few-Shot_Anomaly_Detection_with_DINOv2_WACV_2025_paper.html},
year = {2025},
date = {2025-01-01},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{Däubener2025ELBORegularized,
title = {ELBO, Regularized Maximum Likelihood, and Their Common One-Sample Approximation for Training Stochastic Neural Networks},
author = {Sina Däubener and Simon Damm and Asja Fischer},
url = {https://openreview.net/forum?id=j4yFTNrdrO},
year = {2025},
date = {2025-01-01},
booktitle = {Conference on Uncertainty in Artificial Intelligence (UAI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{Ricker2024TowardsDetection,
title = {Towards the Detection of Diffusion Model Deepfakes},
author = {Jonas Ricker and Simon Damm and Thorsten Holz and Asja Fischer},
url = {https://doi.org/10.5220/0012422000003660},
year = {2024},
date = {2024-01-01},
booktitle = {International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{Velychko2024Learningsparse,
title = {Learning sparse codes with entropy-based ELBOs},
author = {Dmytro Velychko and Simon Damm and Asja Fischer and Jörg Lücke},
url = {https://proceedings.mlr.press/v238/velychko24a.html},
year = {2024},
date = {2024-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
@inproceedings{Damm2023ELBOof,
title = {The ELBO of variational autoencoders converges to a sum of entropies},
author = {Simon Damm and Dennis Forster and Dmytro Velychko and Zhenwen Dai and Asja Fischer and Jörg Lücke},
url = {https://proceedings.mlr.press/v206/damm23a.html},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}