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cs.CR2024
LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states
Luis Ibanez-Lissen, Lorena Gonzalez-Manzano, Jose Maria de Fuentes +2
Large Language Models (LLMs) are increasingly used in a variety of applications, but concerns around membership inference have grown in parallel. Previous efforts focus on black-to…
cs.CR2024★ 2 cited
Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction
Cédric Eichler, Nathan Champeil, Nicolas Anciaux +3
The rise of Large Language Models (LLMs) has triggered legal and ethical concerns, especially regarding the unauthorized use of copyrighted materials in their training datasets. Th…