Florian Merkle

Florian Merkle, BSc MA


Tel.: +43 (512) 507 - 73204
Fax: +43 (512) 507 - 73399

E-Mail:  Florian.Merkle@uibk.ac.at

Akademischer Werdegang:

2011 - 2018 Bachelor program - Management and Economics at the University of Innsbruck.
2018 - 2020 Master's program - Management, Communication & IT at the Management Center Innsbruck
2020 - 2022 PhD program - Image Guided Diagnosis and Therapy at the Medical University of Innsbruck
Since 2022 PhD Program - Management at the University of Innsbruck

2020 - 2023 Project Research Assistant at the Management Center Innsbruck - Digital Business and Software Engineering (Game Over Eva(sion) - Securing Deep Learning with Game Theory)

Since 2023 Project Research Assistant at the Innsbruck University - Department of Information Systems, Production and Logistics Management (REINFORCE - Exploiting the Potential of Reinforcement Learning for Continuous Optimisation of Complex and Dynamic Systems)


2023 - Proceedings

Thomas Widmann, Florian Merkle, Martin Nocker, and Pascal Schöttle "Pruning for Power: Optimizing Energy Efficiency in IoT with Neural Network Pruning." International Conference on Engineering Applications of Neural Networks. Cham: Springer Nature Switzerland, 2023.

Roland Rauter, Martin Nocker, Florian Merkle, and Pascal Schöttle, “On the effect of adversarial training against invariance-based adversarial examples,” in Proceedings of the 2023 8th International Conference on Machine Learning Technologies, ser. ICMLT ’23. New York, NY, USA: Association for Computing Machinery, 2023, p. 54–60. [Online]. Available: https://doi.org/10.1145/3589883.3589891

2022 - Proceedings

Merkle, Florian, Maximilian Samsinger, and Pascal Schöttle. "Pruning in the Face of Adversaries." International Conference on Image Analysis and Processing. Cham: Springer International Publishing, 2022.

2021 - Proceedings
Maximilian Samsinger, Florian Merkle, Pascal Schöttle, and Tomas Penny "When Should You Defend Your Classifier? –A Game-Theoretical Analysis of Countermeasures Against Adversarial Examples." International Conference on Decision and Game Theory for Security. Cham: Springer International Publishing, 2021.


(Hinweis: Verwendung der Publikationen (PDFs) nur für den persönlichen, nicht kommerziellen Gebrauch. Eine weitere Verteilung der PDFs ist nicht gestattet.) 

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