Andreas Trügler

17 papers Misc 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hardware-Agnostic Modeling of Quantum Side-Channel Leakage via Conditional Dynamics and Learning from Full Correlation Data.
CoRR
Brennan Bell, Andreas Trügler, Konstantin Beyer, Paul Erker
2025 J jnl
Assessing the impact of differential privacy in transfer learning with deep neural networks and transformer language models.
Neural Comput. Appl.
Samuel Sousa, Andreas Trügler, Roman Kern
2025 J jnl
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD.
CoRR
Lea Demelius, Dominik Kowald, Simone Kopeinik, Roman Kern, Andreas Trügler
2025 J jnl
Private and Fair Machine Learning: Revisiting the Disparate Impact of Differentially Private SGD.
Trans. Mach. Learn. Res.
Lea Demelius, Simone Kopeinik, Dominik Kowald, Roman Kern, Andreas Trügler
2025 J jnl
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey.
ACM Comput. Surv.
Lea Demelius, Roman Kern, Andreas Trügler
2024 J jnl
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges.
CoRR
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, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2024 J jnl
Establishing and evaluating trustworthy AI: overview and research challenges.
Frontiers Big Data
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, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik
2023 J jnl
A conceptual model for leaving the data-centric approach in machine learning.
CoRR
Sebastian Scher, Bernhard C. Geiger, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2023 J jnl
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey.
CoRR
Lea Demelius, Roman Kern, Andreas Trügler
2022 J jnl
CryptoTL: Private, efficient and secure transfer learning.
CoRR
Roman Walch, Samuel Sousa, Lukas Helminger, Stefanie N. Lindstaedt, Christian Rechberger, Andreas Trügler
2022 — ch.
Data Platforms for Data Spaces.
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, Yury Glikman, Tuomo Tuikka, Edward Curry
2022 J jnl
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers.
CoRR
Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald
2022 — ch.
Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research.
Data Spaces
Lidia Dutkiewicz, Yuliya Miadzvetskaya, Hosea Ofe, Alan Barnett, Lukas Helminger, Stefanie N. Lindstaedt, Andreas Trügler
2022 Misc conf
Reconstructing quantum circuits through side-channel information on cloud-based superconducting quantum computers.
QCE
Brennan Bell, Andreas Trügler
2022 J jnl
Robustness of Machine Learning Models Beyond Adversarial Attacks.
CoRR
Sebastian Scher, Andreas Trügler
2015 J jnl
Plasmonics simulations with the MNPBEM toolbox: Consideration of substrates and layer structures.
Comput. Phys. Commun.
Jürgen Waxenegger, Andreas Trügler, Ulrich Hohenester
2012 J jnl
MNPBEM - A Matlab toolbox for the simulation of plasmonic nanoparticles.
Comput. Phys. Commun.
Ulrich Hohenester, Andreas Trügler