Daniel DeAlcala

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

False Positives

Data Generation

Statistical Modeling

Detection Scheme

Top Venues

Publications

Daniel DeAlcala, Aythami Morales, Gonzalo Mancera, Julian Fiérrez, Ruben Tolosana, Javier Ortega-Garcia
Is my Data in your AI Model? Membership Inference Test with Application to Face Images. CoRR (2024)
Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia
Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach. CoRR (2023)
Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma. COMPSAC (2023)
Daniel DeAlcala, Aythami Morales, Rubén Tolosana, Alejandro Acien, Julian Fiérrez, Santiago Hernandez, Miguel A. Ferrer, Moisés Díaz
BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detection. CVPR Workshops (2023)
Daniel DeAlcala, Aythami Morales, Rubén Tolosana, Alejandro Acien, Julian Fiérrez, Santiago Hernandez, Miguel A. Ferrer, Moisés Díaz
Statistical Keystroke Synthesis for Improved Bot Detection. CoRR (2022)
Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia
IFBiD: Inference-Free Bias Detection. SafeAI@AAAI (2022)
Roberto Daza, Daniel DeAlcala, Aythami Morales, Rubén Tolosana, Ruth Cobos, Julian Fiérrez
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning. CoRR (2021)