3 papers
cs.CL2026
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty, Suzan Verberne, Fatih Turkmen
While recent research increasingly showcases the remarkable capabilities of Large Language Models (LLMs), it is equally crucial to examine their associated risks. Among these, priv…
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…