Below find selected publications, talks, and reviewing activities by me. More details about my publications at my ORCID or Google Scholar profiles.

Selected PublicationsORCID iD icon0000-0003-2690-2478

  • Mikriukov, Georgii, Gesina Schwalbe, Franz Motzkus, and Korinna Bade. 2024. “Unveiling the Anatomy of Adversarial Attacks: Concept-Based XAI Dissection of CNNs.” In Explainable Artificial Intelligence (Proc. 2nd World Conf. eXplainable Artificial Intelligence), 92–116. Cham: Springer Nature Switzerland. DOI: 10.1007/978-3-031-63787-2_6. https://arxiv.org/abs/2403.16782
  • Mikriukov, Georgii, Gesina Schwalbe, Christian Hellert, and Korinna Bade. 2023. “Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability“. In Proc. 1st World Conf. eXplainable Artificial Intelligence. Springer. https://arxiv.org/abs/2304.14864. (Best Industry Paper Award)
  • Schwalbe, Gesina, and Bettina Finzel. 2023. “A comprehensive taxonomy for explainable artificial intelligence: A systematic survey of surveys on methods and concepts.” Data Mining and Knowledge Discovery, pp. 1-59. https://doi.org/10.1007/s10618-022-00867-8.
  • Schwalbe, Gesina, Christian Wirth, and Ute Schmid. 2022. “Enabling Verification of Deep Neural Networks in Perception Tasks Using Fuzzy Logic and Concept Embeddings.” Preprint. https://arxiv.org/abs/2201.00572.
  • Schwalbe, Gesina. 2021. “Verification of Size Invariance in DNN Activations Using Concept Embeddings.” In AIAI 2021: Artificial Intelligence Applications and Innovations. IFIP Advances in Information and Communication Technology. Springer. https://doi.org/10.1007/978-3-030-79150-6_30. (arXiv:2105.06727)
  • Rabold, Johannes, Gesina Schwalbe, and Ute Schmid. 2020. “Expressive Explanations of DNNs by Combining Concept Analysis with ILP.” In KI 2020: Advances in Artificial Intelligence, 148–62. Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-58285-2_11. (arXiv:2105.07371)

Selected Talks

Machine Learning

  • Schwalbe, Gesina. 2025. “KI Anwendungsfälle und Herausforderungen” (German). Presented at Stadtwerke-Forum 2025, Lübeck, Germany, Mar 20. slides.
  • Schwalbe, Gesina. 2024. “Erklärbare KI – Warum wir sie brauchen und wie wir dort hinkommen” (German). Presented at the 5th KI-Landeskonferenz Schleswig-Holstein 2024, Kiel, Germany, Sep 30. slides de, en.
  • Schwalbe, Gesina. 2023. “Methods for the Safety Assurance of Perception DNNs in AD—An Overview”. Presented at the Safe and Secure AI Community Meetup 2023-05-11, Germany, May 11. slides en.
  • Schwalbe, Gesina. 2022. “Diversity and Applications of Explainable Artificial Intelligence Methods.” Presented at the Women in Data Science Regensburg 2022 (WiDS’22), Regensburg, Germany, April 14. https://www.wids-regensburg.de/wids-regensburg-2022/. recording.
  • Schwalbe, Gesina. 2021. “Methods & Challenges for the Safety Assurance of Deep Neural Networks in Computer Vision.” Presented at the Women in Data Science Regensburg 2021 (WiDS’21), Regensburg, Germany, April 14. https://sites.google.com/view/widsregensburg.

Mathematics

All official material (theses, term papers, and talks) is linked in this Github repository.

Other

  • 2024-04-25 & 2023-04-27 “Pedestrian Detection in Automated Driving”. (German). Talk at Girls’ Day of the University of Bamberg 2023 & 2024. slides.
  • 2019-09-04 “From Mathematics to PhD Student in Machine Learning”. (German). Informative talk at trial studies mathematics event, University of Regensburg, 2019.
  • 2016-06-11 “An Insight into Typography”. (German). Informative talk on a selection of typographical topics at privately organized Seminar, Regensburg, Germany. (slides)

Invited Reviews