Marius Leordeanu

The paper introduces a novel semantic fingerprinting approach using Semantic Correlation Descriptors (SCDs) to identify which specific datasets were used to train a model, demonstrating superior performance in membership inference.

This paper details the systematic construction and training of a high-performing Romanian Vision-Language Model (VLM), demonstrating that language-specific adaptation significantly boosts performance over general models.