Application of image processing to track twin boundary motion in magnetic shape memory alloys. - Adrian Rothenbuhler; Elisa H. Barney Smith; Peter Müllner (Image Processing: Machine Vision Applications, 2012)

Robustness of Meta Matrix Factorization Against Strict Privacy Constraints. - Peter Müllner; Dominik Kowald; Elisabeth Lex (ECIR (2), 2021)

Position Paper on Simulating Privacy Dynamics in Recommender Systems. - Peter Müllner; Elisabeth Lex; Dominik Kowald (CoRR, 2021)

Support the underground: characteristics of beyond-mainstream music listeners. - Dominik Kowald; Peter Müllner; Eva Zangerle; Christine Bauer 001; Markus Schedl; Elisabeth Lex (EPJ Data Sci., 2021)

Towards employing recommender systems for supporting data and algorithm sharing. - Peter Müllner; Stefan Schmerda; Dieter Theiler; Stefanie N. Lindstaedt; Dominik Kowald (DE@CoNEXT, 2022)

Innovation Farm - Innovative Technologien für die Landwirtschaft erlebbar machen. - Markus Gansberger; Christian Fasching; Christoph Berndl; Martin Hirt; Peter Müllner; Franz Handler (GIL Jahrestagung, 2022)

ReuseKNN: Neighborhood Reuse for Privacy-Aware Recommendations. - Peter Müllner; Markus Schedl; Elisabeth Lex; Dominik Kowald (CoRR, 2022)

User Privacy in Recommender Systems. - Peter Müllner (ECIR (3), 2023)

ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations. - Peter Müllner; Elisabeth Lex; Markus Schedl; Dominik Kowald (ACM Trans. Intell. Syst. Technol., 2023)

AI-Powered Immersive Assistance for Interactive Task Execution in Industrial Environments. - Tomislav Duricic; Peter Müllner; Nicole Weidinger; Neven A. M. ElSayed; Dominik Kowald; Eduardo E. Veas (ECAI, 2024)

The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. - Peter Müllner; Elisabeth Lex; Markus Schedl; Dominik Kowald (ECIR (4), 2024)

Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models. - Gustavo Escobedo; Marta Moscati; Peter Muellner; Simone Kopeinik; Dominik Kowald; Elisabeth Lex; Markus Schedl (ECML/PKDD (7), 2024)

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)

Differential privacy in collaborative filtering recommender systems: a review. - Peter Müllner; Elisabeth Lex; Markus Schedl; Dominik Kowald (Frontiers Big Data, 2024)

LFM User Groups Implicit Feedback. - Peter Müllner; Elisabeth Lex; Markus Schedl; Dominik Kowald (Zenodo, 2024)