Revisiting Neuron Coverage and Its Application to Test Generation. - Stephanie Abrecht; Maram Akila; Sujan Sai Gannamaneni; Konrad Groh; Christian Heinzemann; Sebastian Houben; Matthias Woehrle (SAFECOMP Workshops, 2020)

Characteristics of Monte Carlo Dropout in Wide Neural Networks. - Joachim Sicking; Maram Akila; Tim Wirtz; Sebastian Houben; Asja Fischer (CoRR, 2020)

Second-Moment Loss: A Novel Regression Objective for Improved Uncertainties. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Asja Fischer; Stefan Wrobel (CoRR, 2020)

Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation. - Linara Adilova; Elena Schulz; Maram Akila; Sebastian Houben; Jan David Schneider; Fabian Hüger; Tim Wirtz (CVPR Workshops, 2021)

Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities. - Julia Rosenzweig; Joachim Sicking; Sebastian Houben; Michael Mock; Maram Akila (CVPR Workshops, 2021)

Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. - Sujan Sai Gannamaneni; Sebastian Houben; Maram Akila (ICCVW, 2021)

Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis. - Julia Rosenzweig; Eduardo Brito; Hans-Ulrich Kobialka; Maram Akila; Nico M. Schmidt; Peter Schlicht; Jan David Schneider; Fabian Hüger; Matthias Rottmann; Sebastian Houben; Tim Wirtz (IV Workshops, 2021)

A Novel Regression Loss for Non-Parametric Uncertainty Optimization. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Asja Fischer; Stefan Wrobel (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; et al. (CoRR, 2021)

ScrutinAI: A Visual Analytics Approach for the Semantic Analysis of Deep Neural Network Predictions. - Elena Haedecke; Michael Mock; Maram Akila (EuroVA@EuroVis, 2022)

DenseHMM: Learning Hidden Markov Models by Learning Dense Representations. - Joachim Sicking; Maximilian Pintz; Maram Akila; Tim Wirtz (ICPRAM, 2022)

The why and how of trustworthy AI. - Anna Schmitz 001; Maram Akila; Dirk Hecker; Maximilian Poretschkin; Stefan Wrobel (Autom., 2022)

Tailored Uncertainty Estimation for Deep Learning Systems. - Joachim Sicking; Maram Akila; Jan David Schneider; Fabian Hüger; Peter Schlicht; Tim Wirtz; Stefan Wrobel (CoRR, 2022)

A Survey on Uncertainty Toolkits for Deep Learning. - Maximilian Pintz; Joachim Sicking; Maximilian Poretschkin; Maram Akila (CoRR, 2022)

Investigating CLIP Performance for Meta-data Generation in AD Datasets. - Sujan Sai Gannamaneni; Arwin Sadaghiani; Rohil Prakash Rao; Michael Mock; Maram Akila (CVPR Workshops, 2023)

Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. - Maximilian Poretschkin; Anna Schmitz 001; Maram Akila; Linara Adilova; Daniel Becker 010; Armin B. Cremers; Dirk Hecker; Sebastian Houben; Michael Mock; Julia Rosenzweig; Joachim Sicking; Elena Schulz; et al. (CoRR, 2023)

ScrutinAI: A visual analytics tool supporting semantic assessments of object detection models. - Elena Haedecke; Michael Mock; Maram Akila (Comput. Graph., 2023)

Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios. - Sujan Sai Gannamaneni; Frederic Klein; Michael Mock; Maram Akila (CVPR Workshops, 2024)

Inspecting and Measuring Fairness of unlabeled Image Datasets. - Rebekka Görge; Michael Mock; Maram Akila (ICDEW, 2024)

Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. - Lennard Helmer; Claudio Martens; Dennis Wegener; Maram Akila; Daniel Becker 010; Sermad Abbas (RAIE@ICSE, 2024)

Assessing systematic weaknesses of DNNs using counterfactuals. - Sujan Sai Gannamaneni; Michael Mock; Maram Akila (AI Ethics, 2024)

Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. - Sergio Genovesi; Julia Maria Mönig; Anna Schmitz 001; Maximilian Poretschkin; Maram Akila; Manoj Kahdan; Romina Kleiner; Lena Krieger 002; Alexander Zimmermann (AI Ethics, 2024)

Wasserstein dropout. - Joachim Sicking; Maram Akila; Maximilian Pintz; Tim Wirtz; Stefan Wrobel; Asja Fischer (Mach. Learn., 2024)

Navigating the Landscape of AI Test Methods Using Taxonomy-Based Selection. - Maximilian Pintz; Anna Schmitz 001; Rebekka Görge; Sebastian Schmidt; Daniel Becker 010; Maram Akila; Michael Mock (RAIE, 2025)

Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions. - Sujan Sai Gannamaneni; Rohil Prakash Rao; Michael Mock; Maram Akila; Stefan Wrobel (Trans. Mach. Learn. Res., 2025)