A Comprehensive Analysis of Factors Impacting Membership Inference. - Daniel DeAlcala; Gonzalo Mancera; Aythami Morales; Julian Fiérrez; Ruben Tolosana; Javier Ortega-Garcia (CVPR Workshops, 2024)

Is my Data in your AI Model? Membership Inference Test with Application to Face Images. - Daniel DeAlcala; Aythami Morales; Gonzalo Mancera; Julian Fiérrez; Ruben Tolosana; Javier Ortega-Garcia (CoRR, 2024)

gMINT: Gradiant-based Membership Inference Test applied to Image Models. - Daniel DeAlcala; Aythami Morales; Julian Fierrez; Gonzalo Mancera; Ruben Tolosana (CVPR Workshops, 2025)

Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs. - Gonzalo Mancera; Daniel DeAlcala; Julian Fierrez; Ruben Tolosana; Aythami Morales (CoRR, 2025)

MINT-Demo: Membership Inference Test Demonstrator. - Daniel DeAlcala; Aythami Morales; Julian Fierrez; Gonzalo Mancera; Ruben Tolosana; Rubén Vera-Rodríguez (CoRR, 2025)

Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment. - Alejandro Peña; Julian Fierrez; Aythami Morales; Gonzalo Mancera; Miguel Lopez; Ruben Tolosana (CoRR, 2025)

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER). - Gonzalo Mancera; Aythami Morales; Julian Fierrez; Ruben Tolosana; Alejandro Peña; Miguel Lopez-Duran; Francisco Jurado 001; Alvaro Ortigosa (CoRR, 2025)