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cs.AI2025
Training Data Attribution for Image Generation using Ontology-Aligned Knowledge Graphs
Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1
As generative models become powerful, concerns around transparency, accountability, and copyright violations have intensified. Understanding how specific training data contributes…
cs.AI2025
Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis
Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis +1
Generative AI models offer powerful capabilities but often lack transparency, making it difficult to interpret their output. This is critical in cases involving artistic or copyrig…