13 Publications
2023 | Conference Paper | LibreCat-ID: 36848
Schott, S., & Pauck, F. (2023). Benchmark Fuzzing for Android Taint Analyses. 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM). https://doi.org/10.1109/scam55253.2022.00007
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2023 | Book Chapter | LibreCat-ID: 45901 | 
Blömer, J., Bobolz, J., Eidens, F., Jager, T., & Kramer, P. (2023). Practical Cryptograhic Techniques for Secure and Privacy-Preserving Customer Loyalty Systems. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 237–246). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068755
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2023 | Book Chapter | LibreCat-ID: 45899 |
Boschmann, A., Clausing, L., Jentzsch, F., Ghasemzadeh Mohammadi, H., & Platzner, M. (2023). Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, & H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 225–236). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.5281/zenodo.8068713
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2023 | Conference Paper | LibreCat-ID: 45913
Clausing, L., Guetattfi, Z., Kaufmann, P., Lienen, C., & Platzner, M. (2023). On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconOS64. Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC).
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2023 | Book | LibreCat-ID: 45863 |
Haake, C.-J., Meyer auf der Heide, F., Platzner, M., Wachsmuth, H., & Wehrheim, H. (2023). On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412). Heinz Nixdorf Institut, Universität Paderborn. https://doi.org/10.17619/UNIPB/1-1797
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2023 | Journal Article | LibreCat-ID: 46492
Seutter, J., Kutzner, K., Stadtländer, M., Kundisch, D., & Knackstedt, R. (2023). “Sorry, Too Much Information”. Designing Online Review Systems that Support Information Search and Processing. Electronic Markets, 33(1), 47.
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2022 | Conference Paper | LibreCat-ID: 32855
Clausing, L., & Platzner, M. (2022). ReconOS64: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 120–127. https://doi.org/10.1109/ipdpsw55747.2022.00029
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2021 | Preprint | LibreCat-ID: 26645 |
Bobolz, J., Eidens, F., Heitjohann, R., & Fell, J. (2021). Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes. IACR eprint.
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2021 | Conference Paper | LibreCat-ID: 30909
Clausing, L. (2021). ReconOS64: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip. Proceedings of the 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies. https://doi.org/10.1145/3468044.3468056
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2021). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. https://doi.org/10.1007/978-3-030-93736-2_27
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2020 | Conference Paper | LibreCat-ID: 16487 |
Bobolz, J., Eidens, F., Krenn, S., Slamanig, D., & Striecks, C. (2020). Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection. In Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20),. New York, NY, USA: ACM. https://doi.org/10.1145/3320269.3384769
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2020 | Journal Article | LibreCat-ID: 13770
Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x
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2020 | Conference Paper | LibreCat-ID: 20808
Ghasemzadeh Mohammadi, H., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880
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