Nils Kemmerzell

According to our database, Nils Kemmerzell authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Towards a Better Understanding of Evaluating Trustworthiness in AI Systems.

Nils Kemmerzell, Annika Schreiner, Haroon Khalid, Michael Schalk, Letizia Bordoli

ACM Comput. Surv., September, 2025

Unveiling Privacy Risks in WebGPU through Hardware-based Device Fingerprinting.

Konrad Hohentanner, Nils Kemmerzell, Steffen Florschütz

Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2025

2024

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

CoRR, 2024

Quantifying the Trade-Offs Between Dimensions of Trustworthy AI - An Empirical Study on Fairness, Explainability, Privacy, and Robustness.

Nils Kemmerzell, Annika Schreiner

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.

Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Towards a Quantitative Evaluation Framework for Trustworthy AI in Facial Analysis.

Annika Schreiner, Nils Kemmerzell

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process.

Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal, Michael Amberg

Mach. Learn. Knowl. Extr., March, 2023

Disentangling the Linguistic Competence of Privacy-Preserving BERT.

Stefan Arnold, Nils Kemmerzell, Annika Schreiner

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023