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cs.CR2025
Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment
Anket Mehra, Andreas Aßmuth, Malte Prieß
With AI-based software becoming widely available, the risk of exploiting its capabilities, such as high automation and complex pattern recognition, could significantly increase. An…
cs.CV2025
Improving Applicability of Deep Learning based Token Classification models during Training
Anket Mehra, Malte Prieß, Marian Himstedt
This paper shows that further evaluation metrics during model training are needed to decide about its applicability in inference. As an example, a LayoutLM-based model is trained f…