Publicaciones en colaboración con investigadores/as de University of Zurich (25)

2023

  1. Analyzing the impact of Driving tasks when detecting emotions through brain–computer interfaces

    Neural Computing and Applications, Vol. 35, Núm. 12, pp. 8883-8901

  2. Avances en ciberseguridad en interfaces cerebro-máquina: evolución y trabajo futuro

    Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023

  3. Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

    IEEE Communications Surveys and Tutorials, Vol. 25, Núm. 4, pp. 2983-3013

  4. Eight Reasons to Prioritize Brain-Computer Interface Cybersecurity

    Communications of the ACM, Vol. 66, Núm. 4, pp. 68-78

  5. Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion

    IJCAI International Joint Conference on Artificial Intelligence

  6. Framework seguro para entrenar modelos de inteligencia artificial federados y descentralizados

    Actas de las VIII Jornadas Nacionales de Investigación en Ciberseguridad: Vigo, 21 a 23 de junio de 2023

2022

  1. A Review of Neuronal Jamming Cyberattack overInvasive BCIs Affecting the Resolution of TasksRequiring Visual Capabilities

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 281-282

  2. A Review of Noise-based Cyberattacks GeneratingFake P300 Waves in Brain-Computer Interfaces

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 273-274

  3. Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities

    Computers and Security, Vol. 112

  4. Noise-based cyberattacks generating fake P300 waves in brain–computer interfaces

    Cluster Computing, Vol. 25, Núm. 1, pp. 33-48

  5. SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions

    Expert Systems with Applications, Vol. 203

  6. Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography

    International Symposium on Medical Information and Communication Technology, ISMICT