Georg Siedel

According to our database, Georg Siedel authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Stylized Synthetic Augmentation Further Improves Corruption Robustness.

Georg Siedel, Rojan Regmi, Abhirami Anand, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025

Combined Image Data Augmentations Diminish the Benefits of Adaptive Label Smoothing.

Georg Siedel, Ekagra Gupta, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

2024

A practical approach to evaluating the adversarial distance for machine learning classifiers.

Georg Siedel, Ekagra Gupta, Andrey Morozov

CoRR, 2024

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions.

Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov

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

2023

Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions.

Georg Siedel, Silvia Vock, Andrey Morozov

CoRR, 2023

2022

Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers.

Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (AISafety 2022) co-located with the Thirty-First International Joint Conference on Artificial Intelligence and the Twenty-Fifth European Conference on Artificial Intelligence (IJCAI-ECAI-2022), 2022