Disentangling the Linguistic Competence of Privacy-Preserving BERT. - Stefan Arnold; Nils Kemmerzell; Annika Schreiner (BlackboxNLP@EMNLP, 2023)

Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis. - Annika Schreiner; Nils Kemmerzell (HICSS, 2024)

Quantifying the Trade-Offs Between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness. - Nils Kemmerzell; Annika Schreiner (KI, 2024)

Characterizing Stereotypical Bias from Privacy-preserving Pre-Training. - Stefan Arnold; Rene Gröbner; Annika Schreiner (CoRR, 2024)

Towards a Better Understanding of Evaluating Trustworthiness in AI Systems. - Nils Kemmerzell; Annika Schreiner; Haroon Khalid; Michael Schalk; Letizia Bordoli (ACM Comput. Surv., 2025)