Publications by the researcher in collaboration with Julián Salas Piñón (33)

2024

  1. Security, Trust and Privacy challenges in AI-driven 6G Networks

    Computer Science & Information Technology Conference Proceedings (AIRCC), pp. 95-113

  2. Studying the Impact of Edge Privacy on Link Prediction in Temporal Graphs

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model

    Frontiers in Artificial Intelligence and Applications

  2. Differentially Private Graph Publishing Through Noise-Graph Addition

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Edge Local Differential Privacy for Dynamic Graphs

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Fair and Private Data Preprocessing through Microaggregation

    ACM Transactions on Knowledge Discovery from Data, Vol. 18, Núm. 3

  5. Preprocessing Matters: Automated Pipeline Selection for Fair Classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Sanitizing and measuring privacy of large sparse datasets for recommender systems

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 11, pp. 15073-15084

  7. Towards Measuring Fairness for Local Differential Privacy

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. A Graph-Based Differentially Private Algorithm for Mining Frequent Sequential Patterns

    Applied Sciences (Switzerland), Vol. 12, Núm. 4

  2. Geolocated Data Generation and Protection Using Generative Adversarial Networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021

  1. Are Sequential Patterns Shareable? Ensuring Individuals’ Privacy

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. IoTFC: A Secure and Privacy Preserving Architecture for Smart Buildings

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

  3. Optimising fairness through parametrised data sampling

    Advances in Database Technology - EDBT

2020

  1. Differentially private graph publishing and randomized response for collaborative filtering

    ICETE 2020 - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications

  2. Fair-MDAV: An algorithm for fair privacy by microaggregation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Privacy Preservation and Inference with Minimal Mobility Information

    Communications in Computer and Information Science

  4. Swapping trajectories with a sufficient sanitizer

    Pattern Recognition Letters, Vol. 131, pp. 474-480

2019

  1. Graph Perturbation as Noise Graph Addition: A New Perspective for Graph Anonymization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Privacy in multiple on-line social networks - Re-identification and predictability

    Transactions on Data Privacy, Vol. 12, Núm. 1, pp. 29-56