Franz Motzkus

According to our database, Franz Motzkus authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Concepts Guide and Explain Diffusion Visual Counterfactuals.

Franz Motzkus, Ute Schmid

Proceedings of the Joint Proceedings of the xAI 2025 Late-breaking Work, 2025

2024

CoLa-DCE - Concept-guided Latent Diffusion Counterfactual Explanations.

Franz Motzkus, Christian Hellert, Ute Schmid

CoRR, 2024

The Anatomy of Adversarial Attacks: Concept-based XAI Dissection.

Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade

CoRR, 2024

Locally Testing Model Detections for Semantic Global Concepts.

Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid

Proceedings of the Explainable Artificial Intelligence, 2024

Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs.

Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond.

Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne

J. Mach. Learn. Res., 2023

2022

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations.

Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne

CoRR, 2022

Measurably Stronger Explanation Reliability Via Model Canonization.

Franz Motzkus, Leander Weber, Sebastian Lapuschkin

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022