MNPBEM - A Matlab toolbox for the simulation of plasmonic nanoparticles. - Ulrich Hohenester; Andreas Trügler (Comput. Phys. Commun., 2012)

Plasmonics simulations with the MNPBEM toolbox: Consideration of substrates and layer structures. - Jürgen Waxenegger; Andreas Trügler; Ulrich Hohenester (Comput. Phys. Commun., 2015)

Data Platforms for Data Spaces. - Amin Anjomshoaa; Santiago Cáceres Elvira; Christian Wolff; Juan Carlos Pérez Baún; Manos Karvounis; Marco Mellia; Spiros Athanasiou; Asterios Katsifodimos; Alexandra Garatzogianni; Andreas Trügler; Martin Serrano; Achille Zappa; et al. (Data Spaces, 2022)

Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research. - Lidia Dutkiewicz; Yuliya Miadzvetskaya; Hosea Ofe; Alan Barnett; Lukas Helminger; Stefanie N. Lindstaedt; Andreas Trügler (Data Spaces, 2022)

Reconstructing quantum circuits through side-channel information on cloud-based superconducting quantum computers. - Brennan Bell; Andreas Trügler (QCE, 2022)

Robustness of Machine Learning Models Beyond Adversarial Attacks. - Sebastian Scher; Andreas Trügler (CoRR, 2022)

CryptoTL: Private, efficient and secure transfer learning. - Roman Walch; Samuel Sousa 001; Lukas Helminger; Stefanie N. Lindstaedt; Christian Rechberger; Andreas Trügler (CoRR, 2022)

Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. - Sebastian Scher; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2022)

A conceptual model for leaving the data-centric approach in machine learning. - Sebastian Scher; Bernhard C. Geiger; Simone Kopeinik; Andreas Trügler; Dominik Kowald (CoRR, 2023)

Establishing and evaluating trustworthy AI: overview and research challenges. - Dominik Kowald; Sebastian Scher; Viktoria Pammer-Schindler; Peter Müllner; Kerstin Waxnegger; Lea Demelius; Angela Fessl; Maximilian Toller; Inti Gabriel Mendoza Estrada; Ilija Simic; Vedran Sabol; Andreas Trügler; et al. (Frontiers Big Data, 2024)

Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey. - Lea Demelius; Roman Kern; Andreas Trügler (ACM Comput. Surv., 2025)