Experimental Analysis of Features for Replay Attack Detection - Results on the ASVspoof 2017 Challenge. - Roberto Font; Juan M. Espín; María José Cano (INTERSPEECH, 2017)

Towards the Application of Global Quality-of-Service Metrics in Biometric Systems. - Juan Manuel Espín; Roberto Font; Juan Francisco Inglés-Romero; Cristina Vicente-Chicote (IberSPEECH, 2018)

Logical Access Attacks Detection through audio Fingerprinting in Automatic speaker Verification. - Juan M. Espín; Roberto Font; Javier G. Marín-Blázquez; Francisco Esquembre (MLSP, 2018)

Towards the use of Quality-of-Service Metrics in Reinforcement Learning: A Robotics Example. - Juan Francisco Inglés-Romero; Juan Manuel Espín; Rubén Jiménez-Andreu; Roberto Font; Cristina Vicente-Chicote (MoDELS (Workshops), 2018)

PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge. - Madhu R. Kamble; José Andrés González López; Teresa Grau; Juan M. Espín; Lorenzo Cascioli; Yiqing Huang; Alejandro Gómez Alanís; Jose Patino 001; Roberto Font; Antonio M. Peinado; Angel M. Gomez; Nicholas W. D. Evans; et al. (Interspeech, 2021)

S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information. - Juan Manuel Espín; Alberto Huertas Celdrán; Javier G. Marín-Blázquez; Francisco Esquembre; Gregorio Martínez Pérez (Sensors, 2021)

S3 dataset. - Juan Manuel Espín López; Alberto Huertas Celdrán; Javier G. Marín-Blázquez; Franscisco Esquembre Martínez; Gregorio Martínez Pérez (IEEE DataPort, 2021)

A Supervised ML Biometric Continuous Authentication System for Industry 4.0. - Juan Manuel Espín López; Alberto Huertas Celdrán; Francisco Esquembre; Gregorio Martínez Pérez; Javier G. Marín-Blázquez (IEEE Trans. Ind. Informatics, 2022)

Open-Set: ID Card Presentation Attack Detection using Neural Transfer Style. - Reuben Markham; Juan M. Espín; Mario Nieto-Hidalgo; Juan E. Tapia (CoRR, 2023)

CGAPP: A continuous group authentication privacy-preserving platform for industrial scene. - Juan Manuel Espín López; Alberto Huertas Celdrán; Francisco Esquembre; Gregorio Martínez Pérez; Javier G. Marín-Blázquez (J. Inf. Secur. Appl., 2023)

Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries. - Alvaro Sanchez; Juan M. Espín; Juan E. Tapia (IJCB, 2024)

First Competition on Presentation Attack Detection on ID Card. - Juan E. Tapia; Naser Damer; Christoph Busch 001; Juan M. Espín; Javier Barrachina; Alvaro S. Rocamora; Kristof Ocvirk; Leon Alessio; Borut Batagelj; Sushrut Patwardhan; Raghavendra Ramachandra; Raghavendra Mudgalgundurao; et al. (IJCB, 2024)

Open-Set: ID Card Presentation Attack Detection Using Neural Style Transfer. - Reuben Markham; Juan Manuel Espín López; Mario Nieto-Hidalgo; Juan E. Tapia (IEEE Access, 2024)

Few-Shot Learning: Expanding ID Cards Presentation Attack Detection to Unknown ID Countries. - Alvaro S. Rocamora; Juan M. Espín; Juan E. Tapia (CoRR, 2024)

Second Competition on Presentation Attack Detection on ID Card. - Juan E. Tapia; Mario Nieto; Juan M. Espín; Alvaro S. Rocamora; Javier Barrachina; Naser Damer; Christoph Busch 001; Marija Ivanovska; Leon Todorov; Renat Khizbullin; Lazar Lazarevich; Aleksei Grishin; et al. (CoRR, 2025)

Enhanced Deep Learning DeepFake Detection Integrating Handcrafted Features. - Alejandro Hinke-Navarro; Mario Nieto-Hidalgo; Juan M. Espín; Juan E. Tapia (CoRR, 2025)