3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CR2026
Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems
Daniel Ruiz, Luca Luceri, Emilio Ferrara
Modern LLM agents can retrieve information from accessible documents, and then disclose a sensitive conclusion assembled from them. This mosaic effect creates a critical risk for a…
cs.CL2026
How Far Will They Go? Red-Teaming Online Influence with Large Language Models
Daniel C. Ruiz, Anna Serbina, Ashwin Rao +2
As large language model (LLM)-based agents increasingly participate in online discourse, red-teaming their capacity to support political influence campaigns is critical for informa…
cs.CL2024★ 3 cited
Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain
Daniel C. Ruiz, John Sell
In recent years, the widespread adoption of Large Language Models (LLMs) has sparked interest in their potential for application within the military domain. However, the current ge…