Benchmark Fuzzing for Android Taint Analyses
S. Schott, F. Pauck, in: 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM), IEEE, 2023.

Practical Cryptograhic Techniques for Secure and Privacy-Preserving Customer Loyalty Systems
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cSorry, Too Much Informationd. Designing Online Review Systems that Support Information Search and Processing
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On Guaranteeing Schedulability of Periodic Real-time Hardware Tasks under ReconO
L. Clausing, Z. Guetattfi, P. Kaufmann, C. Lienen, M. Platzner, in: Proceedings of the 19th International Symposium on Applied Reconfigurable Computing (ARC), 2023.

On-The-Fly Computing -- Individualized IT-services in dynamic markets
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Flexible Industrial Analytics on Reconfigurable Systems-On-Chip
A. Boschmann, L. Clausing, F. Jentzsch, H. Ghasemzadeh Mohammadi, M. Platzner, 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, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 225–236.

ReconO: A Hardware Operating System for Modern Platform FPGAs with 64-Bit Support
L. Clausing, M. Platzner, in: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE, 2022, pp. 120–127.

Cryptimeleon: A Library for Fast Prototyping of Privacy-Preserving Cryptographic Schemes
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ReconO: High-Performance Embedded Computing for Industrial Analytics on a Reconfigurable System-on-Chip
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FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in:  Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.

Privacy-Preserving Incentive Systems with Highly Efficient Point-Collection
J. Bobolz, F. Eidens, S. Krenn, D. Slamanig, C. Striecks, in: Proceedings of the 15th ACM Asia Conference on Computer and Communications Security (ASIA CCS ’20), ACM, New York, NY, USA, 2020.

A Case for a New IT Ecosystem: On-The-Fly Computing
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DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms
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