Simon Damm

According to our database, Simon Damm authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SAMSEM - A Generic and Scalable Approach for IC Metal Line Segmentation.

Christian Gehrmann, Jonas Ricker, Simon Damm, Deruo Cheng, Julian Speith, Yiqiong Shi, Asja Fischer, Christof Paar

CoRR, March, 2026

Measuring Weather Effects and Link Quality Dynamics in LEO Satellite Networks.

Clemens Lottermoser, Simon Damm, Stefan Schmid

CoRR, March, 2026

2025

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

Simon Damm, Jonas Ricker, Henning Petzka, Asja Fischer

CoRR, November, 2025

Generative Models with ELBOs Converging to Entropy Sums.

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

CoRR, January, 2025

AnomalyDINO: Boosting Patch-based Few-Shot Anomaly Detection with DINOv2.

Simon Damm, Mike Laszkiewicz, Johannes Lederer, Asja Fischer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks.

Sina Däubener, Simon Damm, Asja Fischer

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

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

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

Proceedings of the Public-Key Cryptography - PKC 2025, 2025

Solving Concealed ILWE and Its Application for Breaking Masked Dilithium.

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

Proceedings of the Advances in Cryptology - ASIACRYPT 2025, 2025

2024

Towards the Detection of Diffusion Model Deepfakes (Additional Datasets).

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

Dataset, January, 2024

Towards the Detection of Diffusion Model Deepfakes.

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Learning Sparse Codes with Entropy-Based ELBOs.

Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Towards the Detection of Diffusion Model Deepfakes (Dataset).

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

Dataset, January, 2023

The ELBO of Variational Autoencoders Converges to a Sum of Entropies.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023