Dott. mag. Dr.-Ing. Daniel Dorfmeister MSc

Senior Researcher Software Science

Publikationen

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• 2026

• Locki: Neural Networks That Only Behave When Unlocked via Runtime Decryption

  Sochor, H., Schwandtner, M., Dorfmeister, D., Fischer, B., Ferrarotti, F., & Fuß, J.. (2026). Locki: Neural Networks That Only Behave When Unlocked via Runtime Decryption. In Lecture Notes in Computer Science (pp. 285–301). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-34377-2_24

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• 2025

• Software-Hardware Binding for Protection of Sensitive Data in Embedded Software

  Bernhard Fischer, Daniel Dorfmeister, Flavio Ferrarotti, Manuel Penz, Michael Kargl, Martina Zeinzinger, and Florian Eibensteiner. 2025. Software-Hardware Binding for Protection of Sensitive Data in Embedded Software. In Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC '25). Association for Computing Machinery, New York, NY, USA, 570–577.

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• Leveraging Rowhammer for Physically Unique and Non-tamperable Device Identification

  Fischer, B., Dorfmeister, D., Lampesberger, H., & Hermann, E. (2025). Leveraging Rowhammer for Physically Unique and Non-tamperable Device Identification. Procedia Computer Science, 253, 1154–1164.

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• 2024

• GlueZilla: Efficient and Scalable Software to Hardware Binding using Rowhammer

  Mechelinck, R., Dorfmeister, D., Fischer, B., Volckaert, S., & Brunthaler, S. (2024). GlueZilla: Efficient and Scalable Software to Hardware Binding using Rowhammer. Lecture Notes in Computer Science, 416–438.

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• A PUF-Based Approach for Copy Protection of IP in Neural Network Models

  Dorfmeister, D., Ferrarotti, F., Fischer, B., Schwandtner, M., & Sochor, H. (2024). A PUF-Based Approach for Copy Protection of Intellectual Property in Neural Network Models. Lecture Notes in Business Information Processing, 153–169.

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• 2023

• Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems

  Zeinzinger, M., Langer, J., Eibensteiner, F., Petz, P., Drack, L., Dorfmeister, D., & Ramler, R. (2023). Comparative Analysis of SRAM PUF Temperature Susceptibility on Embedded Systems. 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET).

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• DEPS: Leveraging Hardware Faults for Binding Software to Hardware

  Noll, T., & Fesefeldt, I. J.. (2023). 22. Kolloquium Programmiersprachen und Grundlagen der Programmierung. 22. Kolloquium Programmiersprachen Und Grundlagen Der Programmierung, 1 Online–Ressource (2023).. https://doi.org/10.18154/RWTH-2023-10034

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• An Approach for Safe and Secure Software Protection Supported by Symbolic Execution

  Dorfmeister, D., Ferrarotti, F., Fischer, B., Haslinger, E., Ramler, R., & Zimmermann, M. (2023). An Approach for Safe and Secure Software Protection Supported by Symbolic Execution. Communications in Computer and Information Science, 67–78.

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• 2021

• MAD: Memory Allocation meets Software Diversity

  Wiesinger, M., Dorfmeister, D., & Brunthaler S. (2021) MAD: Memory Allocation meets Software Diversity. First Workshop on DRAM Security (DRAMSec), Co-located with ISCA 2021

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• 2020

• Integrating HeuristicLab with compilers and interpreters for non-functional code optimization

  Dorfmeister, D., & Krauss, O. (2020). Integrating heuristiclab with compilers and interpreters for non-functional code optimization. Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion.

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