5 papers
CoRECT: A Framework for Evaluating Embedding Compression Techniques at Scale
L. Caspari, M. Dinzinger, K. Ghosh Dastidar +3
Dense retrieval systems have proven to be effective across various benchmarks, but require substantial memory to store large search indices. Recent advances in embedding compressio…
Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis
Christofer Fellicious, Hans P. Reiser, Michael Granitzer
Forensic Memory Analysis (FMA) and Virtual Machine Introspection (VMI) are critical tools for security in a virtualization-based approach. VMI and FMA involves using digital forens…
Malware Detection based on API calls
Christofer Fellicious, Manuel Bischof, Kevin Mayer +4
Malware attacks pose a significant threat in today's interconnected digital landscape, causing billions of dollars in damages. Detecting and identifying families as early as possib…
On the Suitability of pre-trained foundational LLMs for Analysis in German Legal Education
Lorenz Wendlinger, Christian Braun, Abdullah Al Zubaer +4
We show that current open-source foundational LLMs possess instruction capability and German legal background knowledge that is sufficient for some legal analysis in an educational…
SUDS: A Strategy for Unsupervised Drift Sampling
Christofer Fellicious, Lorenz Wendlinger, Mario Gancarski +2
Supervised machine learning often encounters concept drift, where the data distribution changes over time, degrading model performance. Existing drift detection methods focus on id…