collaborators

6 papers

cs.RO2026

Metamorphic Testing of Vision-Language Action-Enabled Robots

Pablo Valle, Sergio Segura, Shaukat Ali +1

Vision-Language-Action (VLA) models are multimodal robotic task controllers that, given an instruction and visual inputs, produce a sequence of low-level control actions (or motor…

cs.SE2026

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models

Miguel Romero-Arjona, José A. Parejo, Juan C. Alonso +3

Fairness--the absence of unjustified bias--is a core principle in the development of Artificial Intelligence (AI) systems, yet it remains difficult to assess and enforce. Current a…

cs.SE2025

Red Teaming Contemporary AI Models: Insights from Spanish and Basque Perspectives

Miguel Romero-Arjona, Pablo Valle, Juan C. Alonso +7

The battle for AI leadership is on, with OpenAI in the United States and DeepSeek in China as key contenders. In response to these global trends, the Spanish government has propose…

cs.SE2025

o3-mini vs DeepSeek-R1: Which One is Safer?

Aitor Arrieta, Miriam Ugarte, Pablo Valle +2

The irruption of DeepSeek-R1 constitutes a turning point for the AI industry in general and the LLMs in particular. Its capabilities have demonstrated outstanding performance in se…

cs.SE2025

Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation

Aitor Arrieta, Miriam Ugarte, Pablo Valle +2

Large Language Models (LLMs) have become an integral part of our daily lives. However, they impose certain risks, including those that can harm individuals' privacy, perpetuate bia…

cs.SE2025

ASTRAL: Automated Safety Testing of Large Language Models

Miriam Ugarte, Pablo Valle, José Antonio Parejo +2

Large Language Models (LLMs) have recently gained attention due to their ability to understand and generate sophisticated human-like content. However, ensuring their safety is para…