Martin Nocker, MSc

2021 - present
Project Assistant - Management Center Innsbruck

2019 - 2021
Software Engineer Automation - D. Swarovski KG, Wattens

2018
Master's Student - BMW AG

2016 - 2018
Electrical and Computer Engineering - Technical University of Munich (MSc)

2013 - 2016
Computer Science - Leopold-Franzens University Innsbruck (BSc)

• Klocker, F., Bernsteiner, R., Ploder, C., & Nocker, M. (2023). A Machine Learning Approach for Automated Cost Estimation of Plastic Injection Molding Parts. Cloud Computing and Data Science, 4(2), 87-111. https://doi.org/10.37256/ccds.4220232277

• Martin, Nocker, David, Drexel, Michael Rader, Alessio Montuoro, and Pascal Schöttle. "HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models", In The 8th International Conference on Machine Learning Technologies (ICMLT), 2023
• Roland Rauter, Martin Nocker, Florian Merkle, and Pascal Schöttle. "On the Effect of Adversarial Training Against Invariance-based Adversarial Examples", In The 8th International Conference on Machine Learning Technologies (ICMLT), 2023
• Mrowca, A., Nocker, M., Steinhorst, S., & Günnemann, S. (2019). Learning temporal specifications from imperfect traces using bayesian inference. In Proceedings of the 56th Annual Design Automation Conference 2019 (pp. 1-6).

2021 - 2023
SMiLE - Secure Machine Learning Applications with Homomorphically Encrypted Data - SMiLE - Secure Machine Learning Applications with Homomorphically Encrypted Data - FFG - Die Österreichische Forschungsförderungsgesellschaft