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cs.CR2026
Onto-DP: Constructing Neighborhoods for Differential Privacy on Ontological Databases
Yasmine Hayder, Adrien Boiret, Cédric Eichler +1
In this paper, we investigate how attackers can discover sensitive information embedded within databases by exploiting inference rules. We demonstrate the inadequacy of naively app…
cs.CR2026
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…