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

Tag: paper

Scaling Exponents of Time Series Data: A Machine Learning Approach

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

USENIX 2021 – paper accepted

SBA’s paper “On the Usability of Authenticity Checks for Hardware Security Tokens” by Katharina Pfeffer, Alexandra Mai, Adrian Dabrowski, Matthias Gusenbauer, Philipp Schindler, Edgar Weippl, Michael… Read More
USENIX 2021 – paper accepted