Daniel DeAlcala

According to our database, Daniel DeAlcala authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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

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