Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC (2026)
- Authors:
- USP affiliated authors: PONTI, MOACIR ANTONELLI - ICMC ; MARTINELLI, IGOR - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-032-15993-9_34
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; APRENDIZADO COMPUTACIONAL; SEGURANÇA DE REDES
- Keywords: Large Language Models; Retrieval Augmented Generation; Sensitive information disclosure
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 16182, p. 500-515, 2026
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
MARTINELLI, Igor e PONTI, Moacir Antonelli. Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-15993-9_34. Acesso em: 14 abr. 2026. , 2026 -
APA
Martinelli, I., & Ponti, M. A. (2026). Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-032-15993-9_34 -
NLM
Martinelli I, Ponti MA. Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 500-515.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_34 -
Vancouver
Martinelli I, Ponti MA. Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC [Internet]. Lecture Notes in Artificial Intelligence. 2026 ; 16182 500-515.[citado 2026 abr. 14 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_34 - Mobile inertial sensors for fall risk screening and prediction
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