| Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond A Hedström, L Weber, D Krakowczyk, D Bareeva, F Motzkus, W Samek, ... Journal of Machine Learning Research 24 (34), 1-11, 2023 | 142 | 2023 |
| Measurably stronger explanation reliability via model canonization F Motzkus, L Weber, S Lapuschkin 2022 IEEE International Conference on Image Processing (ICIP), 516-520, 2022 | 8 | 2022 |
| CoLa-DCE--Concept-guided Latent Diffusion Counterfactual Explanations F Motzkus, C Hellert, U Schmid arXiv preprint arXiv:2406.01649, 2024 | | 2024 |
| Locally Testing Model Detections for Semantic Global Concepts F Motzkus, C Hellert, U Schmid arXiv preprint arXiv:2405.17523, 2024 | | 2024 |
| The Anatomy of Adversarial Attacks: Concept-based XAI Dissection G Mikriukov, G Schwalbe, F Motzkus, K Bade arXiv preprint arXiv:2403.16782, 2024 | | 2024 |
| xAI-based Model Improvement for Detection and Image Segmentation F Motzkus Gesellschaft für Informatik eV, 2023 | | 2023 |
| Project links A Hedström, F Motzkus | | |
