Daniel DeAlcala

According to our database, Daniel DeAlcala authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER).

Miguel Lopez-Duran, Julian Fierrez, Aythami Morales, Daniel DeAlcala, Gonzalo Mancera, Javier Irigoyen, Ruben Tolosana, Oscar Delgado, Francisco Jurado, Alvaro Ortigosa

CoRR, March, 2026

Membership Inference Test: Auditing Training Data in Object Classification Models.

Gonzalo Mancera, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Julian Fierrez

CoRR, January, 2026

2025

MINT-Demo: Membership Inference Test Demonstrator.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Rubén Vera-Rodríguez

CoRR, March, 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, March, 2025

Is My Data in Your AI? Membership Inference Test (MINT) Applied to Face Biometrics.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Javier Ortega-Garcia

IEEE Access, 2025

DeepID Challenge of Detecting Synthetic Manipulations in ID Documents.

Pavel Korshunov, Vidit Vidit, Amir Mohammadi, Christophe Ecabert, Nevena Shamoska, Sébastien Marcel, Zeqin Yu, Ye Tian, Jiangqun Ni, Lazar Lazarevic, Renat Khizbullin, Anastasiia Evteeva, Alexey Tochin, Aleksei Grishin, Anjith George, Daniel DeAlcala, Tamás Endrei, Javier Muñoz-Haro, Ruben Tolosana, Rubén Vera-Rodríguez, Aythami Morales, Julian Fierrez, György Cserey, Hardik Sharma, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Prateek Shaily, Jayant Kumar, Ajinkya Hase, Satish Maurya, Mridul Sharma, Pallav Dwivedi

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

AttZoom: Attention Zoom for Better Visual Features.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Ruben Tolosana

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Javier Ortega-Garcia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

gMINT: Gradiant-based Membership Inference Test applied to Image Models.

Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

A Comprehensive Analysis of Factors Impacting Membership Inference.

Daniel DeAlcala, Gonzalo Mancera, Aythami Morales, Julian Fiérrez, Ruben Tolosana, Javier Ortega-Garcia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach.

Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia

CoRR, 2023

BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection.

Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Alejandro Acien, Julian Fiérrez, Santiago Hernandez, Miguel A. Ferrer, Moisés Díaz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma.

Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022

Statistical Keystroke Synthesis for Improved Bot Detection.

Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Alejandro Acien, Julian Fiérrez, Santiago Hernandez, Miguel A. Ferrer, Moisés Díaz

CoRR, 2022

IFBiD: Inference-Free Bias Detection.

Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia

Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021

ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning.

Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fiérrez

CoRR, 2021