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2020 – today
- 2026
[i9]Gonzalo Mancera, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Julian Fierrez:
Membership Inference Test: Auditing Training Data in Object Classification Models. CoRR abs/2601.12929 (2026)- 2025
- [j1]Daniel DeAlcala
, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Javier Ortega-Garcia:
Is My Data in Your AI? Membership Inference Test (MINT) Applied to Face Biometrics. IEEE Access 13: 163805-163819 (2025) - [c7]Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana:
gMINT: Gradiant-based Membership Inference Test applied to Image Models. CVPR Workshops 2025: 2781-2790 - [c6]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:
DeepID Challenge of Detecting Synthetic Manipulations in ID Documents. ICCVW 2025: 521-530 - [c5]Daniel DeAlcala, Aythami Morales, Julian Fierrez, Ruben Tolosana:
AttZoom: Attention Zoom for Better Visual Features. ICCVW 2025: 4893-4902 - [i8]Gonzalo Mancera, Daniel DeAlcala, Julian Fierrez, Ruben Tolosana, Aythami Morales:
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs. CoRR abs/2503.07384 (2025) - [i7]Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Rubén Vera-Rodríguez:
MINT-Demo: Membership Inference Test Demonstrator. CoRR abs/2503.08332 (2025) - [i6]Daniel DeAlcala, Aythami Morales, Julian Fierrez, Ruben Tolosana:
AttZoom: Attention Zoom for Better Visual Features. CoRR abs/2508.03625 (2025) - [i5]Daniel DeAlcala, Aythami Morales, Julian Fierrez, Gonzalo Mancera, Ruben Tolosana, Javier Ortega-Garcia:
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning. CoRR abs/2509.07879 (2025) - 2024
- [c4]Daniel DeAlcala, Gonzalo Mancera, Aythami Morales, Julian Fiérrez, Ruben Tolosana, Javier Ortega-Garcia:
A Comprehensive Analysis of Factors Impacting Membership Inference. CVPR Workshops 2024: 3585-3593 - [i4]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 abs/2402.09225 (2024) - 2023
- [c3]Daniel DeAlcala, Ignacio Serna, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia:
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma. COMPSAC 2023: 1167-1172 - [c2]Daniel DeAlcala, Aythami Morales, Ruben 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: 1051-1060 - [i3]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 abs/2304.13680 (2023) - 2022
- [c1]Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia:
IFBiD: Inference-Free Bias Detection. SafeAI@AAAI 2022 - [i2]Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Alejandro Acien, Julian Fiérrez, Santiago Hernandez, Miguel A. Ferrer, Moisés Díaz:
Statistical Keystroke Synthesis for Improved Bot Detection. CoRR abs/2207.13394 (2022) - 2021
- [i1]Roberto Daza, Daniel DeAlcala, Aythami Morales, Ruben Tolosana, Ruth Cobos, Julian Fiérrez:
ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning. CoRR abs/2112.09165 (2021)
Coauthor Index
aka: Julian Fiérrez
aka: Aythami Morales Moreno
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last updated on 2026-03-10 23:06 CET by the dblp team
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