Now showing items 1-7 of 7

    • A differential privacy protection-based federated deep learning framework to fog-embedded architectures 

      Gutiérrez Escobar, Norma; Otero Calviño, Beatriz; Rodríguez Luna, Eva; Utrera Iglesias, Gladys Miriam; Mus León, Sergi; Canal Corretger, Ramon (Elsevier, 2024-04)
      Open Access
      Nowadays, companies collect massive quantities of data to enhance their operations, often at the expense of sharing user sensible information. This data is widely used to train Deep Learning (DL) neural networks to model, ...
    • Dataset for hardware Trojan detection 

      Mus León, Sergi (Universitat Politècnica de Catalunya, 2022-07-14)
      Master thesis
      Open Access
      Nowadays, cloud services rely extensively on the use of virtual machines to enforce security by isolation. However, hardware trojan attacks break this assumption. Within these attacks, cache side-channel attacks such as ...
    • Deep Learning for earthquake detection 

      Mus León, Sergi (Universitat Politècnica de Catalunya, 2021-07-08)
      Bachelor thesis
      Open Access
      Covenantee:   Barcelona Supercomputing Center
      The creation of accurate ground motion models can only be achieved with the help ofvast amounts of labelled data. The manual cataloging makes the processing of this data.The project proposes the automation of the labeling ...
    • Epicentral region estimation using convolutional neural networks 

      Cruz de la Cruz, Stalin Leonel; Tous Liesa, Rubén; Otero Calviño, Beatriz; Alvarado Bermúdez, Leonardo; Mus León, Sergi; Rojas Ulacio, Otilio Jose (Springer Nature, 2022)
      Conference report
      Open Access
      Recent works have assessed the capability of deep neural networks of estimating the epicentral source region of a seismic event from a single-station three-channel signal. In all the cases, the geographical partitioning ...
    • Long short-term memory networks for earthquake detection in Venezuelan regions 

      Mus León, Sergi; Gutiérrez Escobar, Norma; Tous Liesa, Rubén; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Llácer Giner, David; Alvarado Bermúdez, Leonardo; Rojas, Otilio (Springer, 2019)
      Conference lecture
      Open Access
      Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks ...
    • Privacy preserving deep learning framework in fog computing 

      Gutiérrez Escobar, Norma; Rodríguez Luna, Eva; Mus León, Sergi; Otero Calviño, Beatriz; Canal Corretger, Ramon (Springer, 2020)
      Conference report
      Open Access
      Nowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ...
    • Small-layered feed-forward and convolutional neural networks for efficient P wave earthquake detection 

      Mus León, Sergi; Otero Calviño, Beatriz; Alvarado Vivas, Leonardo; Canal Corretger, Ramon; Rojas Ulacio, Otilio (2022-11-15)
      Open Access
      The number and efficiency of seismic networks have steadily increase over time delivering large datasets to be analyzed for earthquake occurrence. Automatic tools for accurate earthquake detection are under emerging and ...