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20242026
most citedNob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction

2 citations · 2 across the 4 of their papers we have counts for

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cs.CR2025

Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique

Yanming Li, Cédric Eichler, Nicolas Anciaux +3

We propose a system for marking sensitive or copyrighted texts to detect their use in fine-tuning large language models under black-box access with statistical guarantees. Our meth…

cs.CR2025

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs

Luis Ibanez-Lissen, Lorena Gonzalez-Manzano, Jose Maria de Fuentes +1

Large Language Models (LLMs) are being extensively used for cybersecurity purposes. One of them is the detection of vulnerable codes. For the sake of efficiency and effectiveness,…