Gesina Schwalbe

According to our database, Gesina Schwalbe authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

Georgii Mikriukov, Gesina Schwalbe, Franz Motzkus, Korinna Bade

CoRR, 2024

Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes.

Youssef Shoeb, R. Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

GCPV: Guided Concept Projection Vectors for the Explainable Inspection of CNN Feature Spaces.

Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade

CoRR, 2023

Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes.

Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk

CoRR, 2023

Quantified Semantic Comparison of Convolutional Neural Networks.

Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade

CoRR, 2023

Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability.

Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade

Proceedings of the Explainable Artificial Intelligence, 2023

Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models.

Mert Keser, Gesina Schwalbe, Azarm Nowzad, Alois Knoll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Concept Embedding Analysis: A Review.

Gesina Schwalbe

CoRR, 2022

Concept Embeddings for Fuzzy Logic Verification of Deep Neural Networks in Perception Tasks.

Gesina Schwalbe, Christian Wirth, Ute Schmid

CoRR, 2022

2021

XAI Method Properties: A (Meta-)study.

Gesina Schwalbe, Bettina Finzel

CoRR, 2021

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.

Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle

CoRR, 2021

Verification of Size Invariance in DNN Activations Using Concept Embeddings.

Gesina Schwalbe

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020

Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications.

Gesina Schwalbe, Bernhard Knie, Timo Sämann, Timo Dobberphul, Lydia Gauerhof, Shervin Raafatnia, Vittorio Rocco

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020

Expressive Explanations of DNNs by Combining Concept Analysis with ILP.

Johannes Rabold, Gesina Schwalbe, Ute Schmid

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020