Unsupervised DeepView: Global Explainability of Uncertainties for High Dimensional Data. - Carina Newen; Emmanuel Müller (ICKG, 2022)

Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. - Carina Newen; Emmanuel Müller (ICDM (Workshops), 2022)

On the Independence of Adversarial Transferability to Topological Changes in the Dataset. - Carina Newen; Emmanuel Müller (DSAA, 2023)

Certainty Attacks Using Explainability Preprocessing. - Carina Newen; Sofia Vergara Puccini; Emmanuel Müller (DaWaK, 2025)

Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI. - Carina Newen; Luca Hinkamp; Maria Ntonti; Emmanuel Müller (CoRR, 2025)

Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations. - Carina Newen; Daniel Bodemer; Sonja Glantz; Emmanuel Müller; Magdalena Wischnewski; Lenka Schnaubert (CoRR, 2025)