"Indirect Prompt Injection CV Dataset"
Abstract
"Indirect Prompt Injection CV Dataset.This dataset has been used for the research described in the work:Alfredo Milani, Valentina Franzoni, Emanuele Florindi, Indirect Prompt Injection in Large Language Models, (2026) , Neural Computing and Application, Springerto evaluate the robustness of LLMs against indirect prompt injection, we designed a systematic experimental framework based on an heterogeneous dataset of Curriculum Vitae (CV) documents. The scope of the dataset is to verify the generalizability of threats and countermeasures. We designed a controlled matrix of 27 unique CVs to isolate the impact of document length and content density on model vulnerability. This dataset is publicly available from Harvard Dataverse as Alfredo Milani, Valentina Franzoni, and Emanuele Florindi. 2026. \u201cIndirect Prompt Injection CV Dataset.\u201d Harvard Dataverse. https:\/\/doi.org\/10.7910\/DVN\/8YBJQ4."
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 7 June 2026
- Document type
- Dataset