1 citations · 2 across the 2 of their papers we have counts for
4 papers
Walking the Embedding Space: Datastore Extraction from Multimodal RAG
Maria Carmen Jica, Ali Satvaty, Suzan Verberne +1
Multimodal Retrieval-Augmented Generation (MRAG) has emerged as a reliable and cost-effective technique of grounding the generative capabilities of Multimodal Large Language Models…
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…
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…
A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality Conversion
Zeinab Sadat Taghavi, Ali Satvaty, Hossein Sameti
Speech Emotion Recognition (SER) is a challenging task. In this paper, we introduce a modality conversion concept aimed at enhancing emotion recognition performance on the MELD dat…