SBA Research is a research center for Information Security funded partly by the national initiative for COMET Competence Centers for Excellent Technologies.
This publication by members of SBA’s CORE Research group presents a novel AI-based approach for estimating the volatility of time series data. This approach is based on a solid ground truth obtained from a vast array of theoretical models and is tested on real-life financial data to show its applicability… Read More
Anastasia Pustozerova is researcher at SBA Research and gave an interesting talk on Differential Privacy for Machine Learning. Talk Abstract Machine Learning requires a lot of data to train effective models. Data owners might not be willing to share the data because of its private nature. Differential Privacy can… Read More
SBA Research has been involved in the international research project FeatureCloud since 2019. The “featurecloud.ai” platform is revolutionizing the field of machine learning in healthcare by enabling biomedical researchers* to build models and collaborate without having to share primary data. FeatureCloud is a breakthrough… Read More
The systematic mapping study on combining Machine Learning and Semantic Web has been accepted by ACM Computing Surveys. This was an international joint effort of Semantic Web Company (SWC), Vienna University of Technology, WU (Vienna University of Economics and Business), University of Vienna, SBA Research, University of Mannheim, and Vrije… Read More
At today’s sec4dev Conference & Bootcamp, Rudolf Mayer and Tanja Šarčević (both SBA Research) held a great talk on Adversarial Machine Learning, giving an overview on various attacks (backdoors, evasion, inference/inversion), and… Read More