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cs.LG2025
EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
Ali Satvaty, Suzan Verberne, Fatih Turkmen
Membership inference attacks (MIA) aim to infer whether a particular data point is part of the training dataset of a model. In this paper, we propose a new task in the context of L…
cs.CL2025
Dataset Creation for Visual Entailment using Generative AI
Rob Reijtenbach, Suzan Verberne, Gijs Wijnholds
In this paper we present and validate a new synthetic dataset for training visual entailment models. Existing datasets for visual entailment are small and sparse compared to datase…