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2020 – today
- 2024
[c3]Georgii Mikriukov
, Gesina Schwalbe, Franz Motzkus, Korinna Bade:
Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs. xAI (1) 2024: 92-116- [c2]Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid:
Locally Testing Model Detections for Semantic Global Concepts. xAI (1) 2024: 137-159 - [i5]Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade:
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection. CoRR abs/2403.16782 (2024) - [i4]Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute Schmid:
Locally Testing Model Detections for Semantic Global Concepts. CoRR abs/2405.17523 (2024) - [i3]Franz Motzkus, Christian Hellert, Ute Schmid:
CoLa-DCE - Concept-guided Latent Diffusion Counterfactual Explanations. CoRR abs/2406.01649 (2024) - 2023
- [j1]Anna Hedström, Leander Weber, Daniel Krakowczyk, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne:
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond. J. Mach. Learn. Res. 24: 34:1-34:11 (2023) - 2022
- [c1]Franz Motzkus, Leander Weber, Sebastian Lapuschkin:
Measurably Stronger Explanation Reliability Via Model Canonization. ICIP 2022: 516-520 - [i2]Franz Motzkus, Leander Weber, Sebastian Lapuschkin:
Measurably Stronger Explanation Reliability via Model Canonization. CoRR abs/2202.06621 (2022) - [i1]Anna Hedström, Leander Weber, Dilyara Bareeva, Franz Motzkus, Wojciech Samek, Sebastian Lapuschkin, Marina M.-C. Höhne:
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations. CoRR abs/2202.06861 (2022)
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