Floragasse 7 – 5th floor, 1040 Vienna

SBA Research is a research center for Information Security
funded partly by the national initiative for COMET Competence Centers for Excellent Technologies.

Tag: CORE

New Journal Article in MDPI’s Nitrogen

Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled Nitrogen Fertilization: Field Performance of an Amino-Acid-Based Fertilizer in Sessile Oak Reforestation  ... Read More
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New Article in Elsevier Computer & Security

Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled "Obfuscation Detection using Matrix Complexity Features of Binary Grayscale Images" in Elsevier's Journal Computers & Security ... Read More
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New Article in MDPI Machine Learning and Knowledge Extraction

Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations in MDPI's journal Machine Learning and Knowledge Extraction. ... Read More
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New paper in Science Computers and Electronics in Agriculture

Our colleagues Georg Goldenits, and Thomas Neubauer published a new paper on Taxonomy of cybersecurity consideration in agriculture. This paper explores the key cybersecurity threats and reliability risks in Agriculture 4.0 by mapping potential faults and pitfalls to emerging digital technologies in farming. It also discusses countermeasures, legal frameworks,… Read More
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Sebastian Raubitzek in Big Data and Cognitive Computing

Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled “Data Obfuscation for Privacy-Preserving Machine Learning Using Quantum Symmetry Properties” in MDPI’s Journal Big Data and Cognitive Computing ... Read More
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New Journal Article in MDPI’s Nitrogen

Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled “Multi-Class Machine Learning to Quantify the Impact of Nitrogen Management Practices on Grassland Biomass” in MDPI’s Journal Nitrogen ... Read More
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New article in Big Data and Cognitive Computing

Our colleagues Philip König, Sebastian Raubitzek, Dennis Toth, Fabian Obermann and Kevin Mallinger published a new paper on Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories. In this paper they analyzed over 2.4 million commits from 33 open-source projects… Read More
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New Journal Article by Sebastian Raubitzek!

Sebastian Raubitzek, researcher at SBA Research, published an interesting journal article titled “Quantum-Inspired Kernel Matrices: Exploring Symmetry in Machine Learning“ in Physics Letters A via ScienceDirect by ELSEVIER. This insightful article explores how quantum principles can inspire new approaches… Read More
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