Towards secure retrieval-augmented generation: preventing LLM data leaks with RBAC (2026)
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, SEGURANÇA DE REDES
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: 20 mar. 2026. , 2026APA
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_34NLM
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 mar. 20 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_34Vancouver
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 mar. 20 ] Available from: https://doi.org/10.1007/978-3-032-15993-9_34
