Florian Merkle, BSc MA
Zimmer:
Tel.: +43 (512) 507 - 73204
Fax: +43 (512) 507 - 73399
E-Mail: Florian.Merkle@uibk.ac.at
Akademischer Werdegang:
Education
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
Experience
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.
Publikationen
(Hinweis: Verwendung der Publikationen (PDFs) nur für den persönlichen, nicht kommerziellen Gebrauch. Eine weitere Verteilung der PDFs ist nicht gestattet.)
Publikationen 2024
Beiträge in Büchern / Zeitschriften
Zeitschriftenaufsatz (Originalarbeit)
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Merkle, Florian; Blossey, Gregor; Häussler, Stefan; Schneckenreither, Manuel (2024): On the Economics of Adversarial Machine Learning.
In: IEEE Transactions on Information Forensics and Security, S. 4670 - 4685. (Weblink)
Beitrag in Proceedingsband (Full Paper)
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Merkle, Florian (2024): Uncovering Vulnerabilities: Adversarial Attacks on Deep Learning Applications in Supply Chain Management.
In: Missbauer, Hubert; Tang, Ou: 23rd International Working Seminar on Production Economics, Innsbruck. February 14-18, 2024, Innsbruck, Austria. Innsbruck: Eigenverlag - Universität Innsbruck., S. 351 - 365. -
Merkle, Florian; Blossey, Gregor; Häussler, Stefan; Schneckenreither, Manuel (2024): Reinforcement learning in autonomous multi-vehicle systems: A structured review.
In: Association for Computing and Machinery: ICSCA 2024: 13th International Conference on Software and Computer Applications. New York: Association for Computing Machinery., S. 310 - 317. (Weblink) -
Merkle, Florian; Sirbu, Mihaela Roxana; Nocker, Martin; Schöttle, Pascal (2024): Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loop.
In: Foresti, Gian-Luca; Fusiello, Andrea; Hancock, Edwin: Image Analysis and Processing - ICIAP 2023 Workshops. Udine, Italy, September 11–15, 2023, Proceedings, Part I. Cham: Springer (= Lecture Notes in Computer Science)., ISBN 978-3-031-51022-9, S. 15 - 27. (DOI) (Weblink)