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March 3, 2026
Open Access
The Model's Language Matters: A Comparative Privacy Analysis of LLMs
AK
Abhishek Kumar
Centre Inria de l'Université Grenoble Alpes
AB
Antoine Boutet
Centre Inria de l'Université Grenoble Alpes
LM
Lucas Magnana
Centre Inria de l'Université Grenoble Alpes
Puntos clave
Privacy concerns arise from the use of large language models, highlighting varying data protection levels.
Key metrics included those assessing data use policies and algorithm transparency across different models.
Analysis focused on the comparative evaluation of multiple large language models, revealing distinct privacy practices.
Insights from this analysis underscore the need for improved privacy standards in the development of algorithms.
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con IA
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Kumar et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75b9bc6e9836116a23349
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The Model's Language Matters: A Comparative Privacy Analysis of LLMs | Synapse